<div><strong>Overview</strong></div><div>HarperCollins Publishers is seeking a <strong>Vice President, Data.&nbsp; </strong>In this role, you will lead the function responsible for data infrastructure, engineering, governance, and analytics across North America. You will own the enterprise data strategy, modernizing our architecture on Microsoft Fabric and driving a multi-year transformation roadmap. The ideal candidate must be a seasoned data leader with the vision to define our future state and the drive to deliver it. You must thrive in a complex, dynamic environment, possess exceptional stakeholder management skills, and have a proven track record of leading high-performing technical teams through significant organizational change.<br><br></div><div><strong>Responsibilities</strong></div><ul><li>Lead a data function responsible for data infrastructure, engineering, governance, and analytics for HarperCollins across North America.</li><li>Build a cohesive team of leaders across data disciplines and design the organization for accelerated delivery and future scalability.</li><li>Own the enterprise data strategy, focusing on modernizing and converging data architecture on Microsoft Fabric.</li><li>Engage and consult with senior leadership in IT and across the business to ensure data strategy deliverables align with business needs.</li><li>Oversee the execution of data transformation, migrating existing solutions and reporting platforms to the Fabric platform to simplify the data estate.</li><li>Optimize data quality and the delivery of analytics solutions through governed data products, DataOps, engineering standards, and observability.</li><li>Manage and extend a portfolio of consulting and vendor partners to access specialized skills and knowledge.</li><li>Foster effective partnerships between the data function and data science, solutions, engineering, and operations teams globally.</li><li>Prepare the data function for AI integration by organizing and presenting data semantically to enable effective agent integration with the enterprise platform.</li><li>Partner with the SVP for Data, Engineering, and Architecture on long-term strategy and roadmap development.</li></ul><div><strong>Qualifications</strong></div><ul><li>15+ years of experience in Data and Analytics roles.</li><li>5+ years of experience leading data teams specifically managing high-volume, high-complexity ERP data.</li><li>Proven ability to devise strategic goals within a complex business environment and motivate teams to achieve them.</li><li>Capability to envision how data creates value for the business in the future and communicate this to audiences across the company.</li><li>Exceptional ability to engage, influence, and collaborate with stakeholders at all levels to align business priorities with technical execution.</li><li>Fluency in modern data and analytics platforms, including Lakehouse architectures, infrastructure, data modeling, pipelines, and BI tools.</li><li>Extensive experience with Microsoft’s cloud data platform components and their evolution into Fabric.</li><li>Strong background in delivering complex data engineering solutions with rigorous technical standards.</li><li>Demonstrated experience leading enterprise-level data transformations and organizational change.</li><li>Strong understanding of the analytical potential of AI and its integration with enterprise data platforms.</li><li>Experience with JD Edwards (JDE) integrations is highly preferred.</li><li>DAMA-DMBOK certification or similar data management accreditation is an advantage.</li></ul><div><br>HarperCollins Publishers is a company full of people who are passionate about books.&nbsp; When you apply for a position, we want to know why you want to work here, and why you are interested in the job. <strong>That’s why cover letters are strongly preferred.<br></strong><br></div><div>The salary range for this position is $240,000-$260,000. We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, technical and communication skills, and other factors that may prove relevant during the interview process. &nbsp;<br><br></div><div>In addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce.&nbsp; &nbsp; &nbsp;</div>

VP, Data and Analytics

<div><strong>Position Summary</strong></div><div><br>Virtuous is evolving its data platform into an AI-ready foundation that powers trusted decision-making and self-service analytics across the company.</div><div><br>We’re hiring a <strong>Lead Data Platform Engineer</strong> to design, build, and <em>own</em> the systems that power our data ecosystem. This role is ideal for a highly motivated self-starter who is comfortable with ambiguity and thrives at the intersection of systems design, business semantics, and AI enablement.</div><div><br>This is <strong>not a traditional data engineering role</strong> focused on building one-off pipelines, dashboards, or ad hoc reports. Success in this role comes from designing and building durable platform capabilities — security models, access patterns, cost controls, and shared data foundations — that enable teams (<em>and AI systems</em>) to safely and confidently use data at scale.</div><div><br>You’ll work closely with the Director of Data Operations as well as our Finance, Product, Engineering and Security Teams to ensure our data platform is accurate, governable, and ready to support AI-enabled workflows across the company.</div><div><strong><br>What You'll Build &amp; Own</strong></div><div><br></div><h3>Data Platform &amp; AI-Enablement</h3><ul><li>Own the evolution of Virtuous’s data platform, primarily on <strong>Snowflake and dbt</strong>, as a secure, scalable, and AI-ready system.</li><li>Design data models, metadata, and access patterns that support <strong>natural-language querying and AI-assisted analysis</strong>.</li><li>Partner with Data Operations and Teams across the company to ensure data structures are accurate, reusable, and aligned with business definitions.</li><li>Prepare data foundations that allow AI tools to deliver consistent, timely, and trustworthy answers.</li><li>Ensure AI systems access data exclusively through governed service accounts and role-scoped permissions, with query activity auditable and restricted according to enterprise data classification and access standards.</li></ul><div><br></div><h3>Access, Trust &amp; Governance by Design</h3><ul><li>Architect and implement role-based access controls within Snowflake and related data systems (including row- and column-level security), ensuring enforcement aligns with enterprise IAM standards, approved access policies, and centralized identity governance processes.</li><li>In partnership with Security Operations and IT, translate approved enterprise access and compliance policies into enforceable platform-level controls, and maintain technical configurations to ensure ongoing alignment with those standards.</li><li>Ensure all platform-level access controls integrate with the enterprise identity provider (SSO, SCIM, role lifecycle management), and support automated provisioning, deprovisioning, and periodic access certification processes.</li><li>Build governance patterns that are enforced by design — not by manual process.</li><li>Support periodic access reviews and control validation processes in coordination with Security and Compliance teams, ensuring appropriate separation of duties between policy definition, approval, and technical implementation.</li></ul><div><br></div><h3>Platform Leverage &amp; Standards</h3><ul><li>Build and maintain <strong>CI/CD pipelines</strong>, testing strategies, and deployment patterns for dbt and Snowflake.</li><li>Design deployment, testing, and validation patterns that make accuracy the default.</li><li>Establish platform standards, templates, and best practices that enable others to move faster without sacrificing quality or security.</li><li>Increase the amount of trusted work the organization can do without increasing Data Ops involvement.</li><li>Reduce ad hoc work by building reusable systems and guardrails.</li><li>Act as a technical leader and thought partner across data-related initiatives.</li></ul><div><br></div><h3>Reliability, Cost &amp; Performance</h3><ul><li>Own Snowflake warehouse strategy, resource governance, and cost optimization.</li><li>Continuously improve performance, scalability, and reliability across the data platform.</li><li>Identify and eliminate inefficiencies that increase cost, risk, or operational overhead.</li><li>Collaborate with IT and Cloud Engineering to ensure Snowflake networking, storage integrations, and data movement patterns align with enterprise cloud security baselines, network segmentation standards, and infrastructure governance policies.</li></ul><div><strong><br>What Success Looks Like</strong></div><ul><li>Teams reliably self-serve data and insights without increasing DataOps workload or risk.</li><li>AI-powered tools consistently answer business questions accurately, using governed data, with access enforced by role and context.</li><li>Data access, governance, and correctness are enforced by platform design rather than manual review or process.</li><li>Platform improvements materially reduce cost, operational risk, or time-to-insight.</li><li>Shared, trusted models replace bespoke datasets and one-off definitions.</li><li>At least one company-critical initiative (e.g., AI enablement, cost optimization, access expansion) succeeds specifically because of systems you designed and built.</li></ul><div><br><strong>Who This Role is For</strong></div><ul><li>Care about leverage, durability, and outcomes — not just shipping artifacts.</li><li>Think deeply about how AI and automation change the role of data platforms.</li><li>Are highly self-directed and motivated, and take pride in ownership.</li><li>Thrive in ambiguity and are comfortable making decisions with incomplete information.</li><li>Are motivated by leverage, correctness, and long-term impact — not ticket volume or titles.</li><li>Readily navigate cross-functional tradeoffs to build shared data foundations that serve the whole company, not individual teams.</li></ul><div><strong><br>You Must Have</strong></div><ul><li>7+ years of experience in data engineering, platform engineering, or related infrastructure roles, with ownership of production systems.</li><li><strong>Deep expertise in Snowflake</strong>, especially:<ul><li>Roles and RBAC</li><li>Row-level and column-level security</li><li>Warehouse design and cost optimization</li><li>Performance tuning and governance</li></ul></li><li><strong>Strong experience using dbt </strong>to build and maintain shared data models, including macro development, testing strategies, source freshness, group model security implementation, and production deployment patterns..</li><li>Advanced SQL skills and experience designing reliable ELT/ETL pipelines.</li><li>Proven systems-thinking mindset, with the ability to reason about tradeoffs across correctness, access, cost, and speed.</li><li>Clear communicator who can explain complex technical concepts to both technical and non-technical partners.</li></ul><div><strong><br>Nice to Have</strong></div><ul><li>dbt certification strongly preferred</li><li>Experience enabling AI/ML or natural-language data access.</li><li>Familiarity with data observability, lineage, or metadata tooling.</li><li>Experience designing platforms for self-service analytics.</li><li>Exposure to BI tools such as Sigma, Looker, or Tableau.</li><li>Experience working in lean, fast-growing organizations where leverage matters more than headcount.</li></ul><div><strong><br>What We Offer</strong></div><ul><li>Market competitive pay leveraging Carta data</li><li>Employee recognition through Bonusly (birthdays, anniversaries, achievements, etc.)</li><li>401(k) retirement plan with company matching- 50% match up to 6% of compensation after 90 days</li><li>We value our employee’s work-life balance and encourage taking advantage of Unlimited PTO</li><li>Supportive time off including paid volunteer days and company holidays</li><li>Employer-contributed healthcare benefits, encompassing medical, dental, and vision coverage, with plans available for dependents and choices for Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA).</li><li>12 weeks primary parent leave, 4 weeks secondary parent leave - full pay (adoption as well)</li><li>We pride ourselves on Community and host exciting company outings and events.</li></ul><div><br><strong>About Us</strong></div><div><br>Virtuous is on a mission to inspire global generosity by helping nonprofits build better relationships with their donors. We offer a modern software platform that provides mid-sized charities with elegant tools for fundraising, marketing, volunteerism, and online giving.</div><div><br>Our talented team is driven to disrupt the status quo in the nonprofit sector. We are hungry, humble, and committed to delivering best-in-class software solutions, customer success interactions, and sales experiences to the world’s leading nonprofits&nbsp;</div><div><br><br></div><div>We also recognize the importance of giving back and making a difference in the communities where we live and work. That's why we practice radical generosity by volunteering at nonprofits or going the extra mile for our team and the customers we serve. We take our work seriously, but we don’t take ourselves too seriously. We believe that life is too short not to love what you do.&nbsp;</div><div><br>The ideal candidate for Virtuous embodies our values by:</div><ul><li>Asking questions with a spirit of curiosity</li><li>Giving feedback freely with candor &amp; grace, welcoming it in return</li><li>Displaying a passion for philanthropy and technology&nbsp;</li><li>Serving with joy. Everyone is willing to make the coffee!</li><li>Celebrating the wins &amp; milestones of others&nbsp;</li><li>Assuming good intent &amp; demonstrating trust in others&nbsp;</li><li>Pursuing relationships with people different from themselves &amp; creates space to be human</li></ul>

Lead Data Platform Engineer

<div>GMO Global Media Outreach harnesses the power of digital technology to spread the Gospel around the globe. Through advanced data-driven strategies, we connect with millions, fostering their spiritual growth in Christ. We aim to offer every person on Earth the chance to discover Jesus via various digital channels, creating a faith-based community that unites volunteers with individuals worldwide seeking spiritual enlightenment.<br><br></div><div>We are seeking a skilled and mission-driven Data Scientist to join our growing team. This role is pivotal in helping us understand, engage with, and support people at every stage of their spiritual journey. As a <strong>Data Science &amp; Analytics Director </strong>at Global Media Outreach, you’ll apply statistical modeling, machine learning, and data mining techniques to generate insights that inform outreach strategies, measure spiritual engagement, and optimize impact. You’ll work closely with stakeholders across the organization to ensure data is used to advance our mission effectively and responsibly.<br><br></div><div><strong>Key Responsibilities:<br></strong>This role will provide leadership to the Data Science &amp; Analytics team and foster cross-functional collaboration (including engineering, product, etc.) to align data initiatives with broader business objectives. This role reports to the Chief Technology Officer and works closely with the Director of Engineering and Sr. Director of Solutions as part of the Technology Solutions leadership team.&nbsp;<br><br></div><div><em>Modeling, Metrics &amp; Analysis:</em></div><ul><li>Design and implement machine learning models to classify contacts, predict user engagement, and identify behavioral trends.</li><li>Develop and refine metrics to quantify spiritual growth and content effectiveness.</li><li>Analyze large datasets to extract insights that inform strategic decisions, campaign performance, and digital outreach strategies.</li></ul><div><br><em>Experimentation &amp; Optimization:</em></div><ul><li>Design and evaluate A/B tests, multivariate experiments, and causal analyses to test hypotheses and optimize messaging, user flows, and engagement pathways.</li><li>Leverage data insights to assess the efficacy of product enhancements, content approaches, and operational workflows. This analysis will inform solution development and drive continuous improvement.</li></ul><div><br><em>Data Engineering Collaboration:</em></div><ul><li>Partner with the Director of Engineering to source, clean, and prepare structured and unstructured data for analysis and model deployment.</li><li>Contribute to refining data pipelines and support the execution of scalable models in production environments.</li></ul><div><br><em>Communication &amp; Visualization:</em></div><ul><li>Communicate complex data insights to stakeholders at all levels through clear narratives and effective data visualizations, enabling data‑driven decision‑making across the organization.</li><li>Create compelling dashboards, reports, and visualizations to communicate trends and recommendations to internal stakeholders and leadership.&nbsp;</li></ul><div><br>Research &amp; Innovation:</div><ul><li>Stay informed on trends in data science, machine learning, and AI—especially those applicable to digital engagement and nonprofit work.</li><li>Explore emerging technology trends such as NLP, recommender systems, and responsible AI to inform future innovation.</li></ul><div>&nbsp;</div><div><strong>Skill Requirements:</strong></div><ul><li>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.</li><li>5–7 years in data science/analytics with leadership experience.</li><li>Proficiency in Python or R and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, caret).</li><li>Strong SQL skills and experience working with relational databases and data warehouses.</li><li>Demonstrated experience with supervised and unsupervised learning techniques.</li><li>Strong grasp of experimental design, hypothesis testing, and statistical inference.</li><li>Excellent communication and visualization skills, with the ability to explain complex models to non-technical stakeholders.</li><li>Experience deploying models and working with data in production environments.</li></ul><div><br><strong>Bonus Skills:</strong></div><ul><li>Experience in digital engagement, donor analytics, or non-profit impact measurement.</li><li>Familiarity with cloud platforms such as AWS or Google Cloud Platform.</li><li>Exposure to NLP and chatbot-related applications.</li><li>Proficiency in data visualization tools such as Tableau, Power BI, or Looker.</li><li>Understanding of data ethics and responsible AI practices.</li></ul><div>&nbsp;</div><div><strong>Additional Requirements</strong></div><ul><li>This position is fully remote.</li><li>Only U.S.-based applicants will be considered.</li><li>Applicants must be authorized to work in the U.S.</li><li>Alignment with our Statement of Faith is required.</li></ul><div>&nbsp;</div><div><strong>To Apply<br></strong>If you have a passion for using your skills for Gospel purposes, we encourage you to apply. Please submit your <strong>resume</strong> and a <strong>cover letter below. </strong>Your cover letter should detail your interest in joining Global Media Outreach and highlight your experience and skills.<br><br></div><div>Join us in our mission to make a significant global impact through innovative digital means, spreading the gospel and connecting people with the message of Jesus Christ!</div>

Data Science & Analytics Director

<div>World Vision is hiring a <strong>Data Architect</strong> to lead the development of our enterprise data warehouse and setting data architecture standards.</div><div><strong>At a Glance</strong></div><div><strong>Role: </strong>&nbsp;Data Architect</div><div><strong>Reports to:</strong> Director, Information Systems&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</div><div><strong>Location: </strong>Remote/Hybrid&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</div><div><strong>Requirements: </strong>Bachelor's degree in computer science, information systems, or related field or equivalent work experience (eight years). In addition to education or education equivalent, requires 8-10 years of information systems work experience with a strong understanding of information systems architectures.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</div><div><strong>Preferred Experience:</strong> Expertise in data architecture and data modeling. Demonstrated experience designing and implementing data solutions in a Microsoft ecosystem (e.g., SQL Server, Power BI/SSRS/SSAS) and integrating data across multiple applications and platforms.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</div><div><strong>Work Authorization: </strong>Must be authorized to work in the U.S.A for any employer.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</div><div><strong>Estimated hiring range: </strong>$114,600 - $166,750</div><div><strong>The Job</strong></div><div>The Data Architect will lead the development of our enterprise data warehouse and setting data architecture standards for World Vision U.S., ensuring the design, implementation, and operationalization of a cohesive data architecture and technical framework across all of the digital team</div><div><strong>Responsibilities</strong></div><ul><li>Keep Christ central in individual and corporate life; actively participate in and contribute to the spiritual disciplines of the organization (Christian conduct, chapel, prayer, worship, devotions, and leadership of devotions); incorporate World Vision Core Values into decisions within scope of role.&nbsp;</li><li>Help carry out our Christian organization’s mission, vision, and strategies. Personify the ministry of World Vision by witnessing to Christ and ministering to others through life, deed, word and sign.​ &nbsp;</li><li>Oversee the development of World Vision U.S.' Data architecture design, standards and operational implementations. Maintain a focus on the utilization of new technologies and methodologies in the most appropriate and cost-effective manner within World Vision.&nbsp;</li><li>Manage internal client/customer relationships to ensure that service objective expectations are developed and managed appropriately.&nbsp;</li><li>Develop and oversee staffing to support the operations of all supported database technologies and direct the team in the processes to evaluate and develop the strategic growth and maturity of the data architectures, optimization of database products for performance and cost.&nbsp;</li><li>Consult with senior leadership regarding emerging technologies and opportunities to improve reliability, reduce costs and provide adequate growth capacity that is aligned with the overall strategic plans of the ISG organization.&nbsp;</li><li>Maintain a current knowledge of emerging technologies and constantly evaluating the potential impact to World Vision US.&nbsp;</li><li>Liaise with World Vision International Office, Partnership Office CIO, staff and other regional/national/field offices in support of data architectures and integration requirements.&nbsp;</li><li>Work with the operations and project managers to hire, terminate, train and counsel employees; evaluate employee performance against individual and team goals and recommend salary increases, promotions and other personnel actions.&nbsp;</li><li>Perform other duties as assigned.&nbsp;</li><li>Work collaboratively with team members when assigned to work as a member of a team.&nbsp;</li><li>Keep informed of organizational announcements, activities and changes via regular reading of the WVUS Intranet and other corporate communication tools.&nbsp;</li></ul><div><br><strong>You Bring These Skills</strong></div><ul><li>Data architecture &amp; modeling: Strong experience designing enterprise data models (conceptual/logical/physical), including dimensional modeling (star/snowflake) and normalized models; ability to translate business needs into scalable data structures.</li><li>Azure Data Plaform: Azure Data Platform: Expertise architecting and supporting solutions across Microsoft’s cloud data ecosystem, including Microsoft Fabric (data engineering, lakehouse, pipelines), Azure SQL, and Data Lake, with strong proficiency in data governance, cataloging, lineage, and security using Microsoft Purview.</li><li>Microsoft SQL Server: Deep knowledge of MS SQL Server (T-SQL, schema design, indexing, query performance tuning, security, and operational best practices).</li><li>Data integration / ETL: Experience building and managing pipelines using SSIS (or equivalent ETL/ELT tooling), including orchestration, monitoring, and error handling.</li><li>BI / Semantic layer: Experience designing and supporting analytics solutions using SSAS (Tabular) and/or equivalent semantic modeling; understanding of measures, hierarchies, and reusable data sets.</li><li>Reporting &amp; visualization: Hands-on experience with Power BI (data modeling, DAX fundamentals, dataset governance) and/or SSRS for operational reporting.</li><li>Master Data Management: Experience with MDS or another MDM/master data tool and concepts (golden record, survivorship, reference data, stewardship workflows).</li><li>Data governance &amp; quality: Practical experience implementing data standards, lineage/metadata practices, data quality controls, and access/security patterns.</li><li>Communication &amp; stakeholder management: Ability to partner with technical and non-technical stakeholders, document architecture decisions, and guide teams toward consistent implementation.&nbsp;</li></ul><div><br><strong>Requirements</strong></div><div>Bachelor's degree in computer science, information systems, or related field or equivalent work experience (eight years). In addition to education or education equivalent, requires 8-10 years of information systems work experience with a strong understanding of information systems architectures.&nbsp; &nbsp; &nbsp;</div><div><br><strong>Preferred Experience: </strong>Expertise in data architecture and data modeling. Demonstrated experience designing and implementing data solutions in a Microsoft ecosystem (e.g., SQL Server, Power BI/SSRS/SSAS) and integrating data across multiple applications and platforms.</div><div><br><strong>Salary &amp; Benefits</strong></div><div><strong>WVUS Pay Grade Level</strong>: 229&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</div><div><strong>Estimated hiring range</strong>: $114,600 - $166,750&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</div><div>The posted hiring salary range reflects pay for U.S. locations and is determined using market data and internal compensation guidelines. Actual compensation may vary depending on the candidate’s geographic location, job-related experience, and applicable laws.</div><div><br><strong>About World Vision&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</strong></div><div>We're a global Christian humanitarian organization. We partner with children, families, and their communities to empower them as they reach their full potential by tackling the causes of poverty and injustice. For 75 years, World Vision has followed Jesus' example to show unconditional love to the poor and oppressed. We serve every child regardless of faith.</div><div><br><strong>What Happens Next?&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</strong></div><div>Due to the high volume of applications, only short-listed candidates will be contacted for an initial phone conversation with a recruiter. We encourage you to submit a PDF resume and a cover letter. Our goal is to fill this vacancy with the right person in the shortest amount of time.</div>

Data Architect

<div><strong>Position Summary<br></strong><br></div><div>The Data Architect will design, build, and maintain PreBorn’s data architecture to ensure reliable, secure, and scalable data systems that support fundraising, program impact reporting, operations, and leadership decision-making. The role will also steward the ministry’s data ecosystem by helping manage relationships with external vendors and partners. This role bridges technical execution with organizational strategy, ensuring data is accessible, trustworthy, and aligned with PreBorn’s mission.<br><br></div><div><strong>Key Responsibilities<br></strong><br></div><div><strong>Data Architecture &amp; Strategy<br></strong><br></div><ul><li>Design and maintain enterprise data architecture, including data models, schemas, and integration patterns</li><li>Develop and document data standards, governance practices, and best practices</li><li>Align data architecture with organizational goals, reporting needs, and growth plans</li><li>Develop an annualized data roadmap aligned to ministry priorities</li></ul><div><br><strong>Hands on Data Integration &amp; Systems<br></strong><br></div><ul><li>Architect and manage integrations between CRM systems (e.g., donor management), financial systems, program databases, and third-party platforms</li><li>Oversee ETL/ELT pipelines to ensure data accuracy, consistency, and availability</li><li>Support migration and modernization of legacy data systems when needed</li></ul><div><br><strong>Analytics &amp; Reporting Enablement<br></strong><br></div><ul><li>Partner with leadership, fundraising, program, and operations teams to understand reporting and analytics needs</li><li>Enable dashboards and analytics tools by ensuring clean, well-structured data</li><li>Support impact measurement, donor reporting, and compliance requirements</li><li>Enable self-service analytics where appropriate</li></ul><div><br><strong>Data Security &amp; Compliance<br></strong><br></div><ul><li>Ensure data security, privacy, and access controls in accordance with best practices and applicable regulations</li><li>Implement data quality monitoring and validation processes</li><li>Support disaster recovery and business continuity planning for data systems</li><li>Document system changes, decisions and issues</li><li>Act as the primary escalation point for data issues</li></ul><div><br><strong>Collaboration &amp; Leadership<br></strong><br></div><ul><li>Collaborate with developers, analysts, and external vendors</li><li>Provide technical guidance and mentorship related to data architecture</li><li>Translate complex technical concepts into clear explanations for non-technical stakeholders</li><li>Translate organizational data needs into clear technical requirements for vendors and external partners</li><li>Ensure vendor solutions integrate cleanly into the broader data architecture and do not create unnecessary technical debt</li></ul><div><br><strong>Required Qualifications<br></strong><br></div><ul><li>Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience)</li><li>5+ years of experience in data architecture, data engineering, or related roles</li><li>Strong experience with relational databases and data modeling</li><li>Experience integrating CRMs, financial systems, and cloud-based platforms</li><li>Familiarity with data warehousing, ETL tools, and analytics platforms</li><li>Experience collaborating with external vendors and consulting partners</li><li>Strong documentation and communication skills</li></ul><div><br><strong>Preferred Qualifications<br></strong><br></div><ul><li>Experience working in a nonprofit or mission-driven organization</li><li>Experience with cloud data platforms (e.g., Azure, AWS, or Google Cloud)</li><li>Knowledge of donor management or fundraising systems</li><li>Familiarity with BI tools (e.g., Power BI, Tableau, Looker)</li><li>Understanding of data governance and master data management</li><li>Experience supporting executive dashboards and KPI frameworks</li></ul><div><br><strong>Core Competencies<br></strong><br></div><ul><li>Mission alignment and servant leadership mindset</li><li>Analytical thinking and problem-solving</li><li>Attention to detail and data integrity</li><li>Collaboration across technical and non-technical teams</li></ul>

<div><strong>Join Tithe.ly, </strong><strong><em>We’re on a Mission&nbsp;<br></em></strong><br></div><div>We’re a fully remote tech company that puts the Church first, serving over 50,000 churches around the world. We’re on a mission to see the local church have the financial stability and resources needed to build the Kingdom of God, and we work every day to deliver world-class, cost-effective technology tools to make the business of the church just a bit easier.</div><div><strong><br>Job Description<br></strong><br></div><div>The<strong> Data Engineer</strong> will play a pivotal role in designing, implementing, and maintaining our modern cloud data architecture. This position ensures data is reliable, timely, and optimized for consumption across the organization.</div><div><br>The ideal candidate is an ELT specialist with deep proficiency in dbt for transformation and Snowflake for scalable warehousing. This role requires a strategic, DataOps-focused mindset, strong collaboration skills, and a commitment to delivering measurable business impact.<br><br></div><div>Our data platform serves as the scalable backbone for product innovation, operational reporting, and strategic decision-making. We are seeking an accountable, results-oriented engineer to join us during a critical phase of platform development and investment.<br><br></div><div><strong>Primary Responsibilities and Outcomes</strong></div><div><br>The successful candidate will be responsible for driving meaningful, long-term impact across our data ecosystem. Within the first 6-12 months and beyond, they will focus on the following:</div><div><strong><br>1. Architecting Trusted Data Assets (dbt, DataOps, Quality)<br></strong><br></div><div><strong>Outcome:</strong> Establish and continually advance our modern ELT environment (Snowflake/dbt) as the reliable backbone for corporate and team reporting by reducing data trust deficit and metric ambiguity.</div><div><strong><br>Deliverables:</strong></div><ul><li>Design, build, and maintain production-grade data models (Silver/Gold layers) using dbt, applying software engineering best practices such as CI/CD, testing, and modular design.</li><li>Proactively develop and maintain clear documentation and data lineage using dbt artifacts to ensure downstream users have full visibility into data definitions and transformation logic.</li><li>Partner closely with data team in rigorous code reviews and uphold strong version control standards (Git) across all transformation code.</li></ul><div><strong><br>2. Ensuring Scalability and Pipeline Reliability (Snowflake, Fivetran, Orchestration)<br></strong><br></div><div><strong>Outcome</strong>: Achieve and maintain 97% uptime and low latency for core ELT pipelines while proactively managing and optimizing cloud compute costs.</div><div><strong><br>Deliverables:</strong></div><ul><li>Architect and manage production data pipelines in Snowflake, using advanced SQL to optimize performance, warehouse configurations, and cost efficiency.</li><li>Monitor and administer data ingestion through Fivetran to ensure seamless and timely loading of operational and application data.</li><li>Troubleshoot and resolve complex data issues, performing bug fixes, performance analysis, and root-cause evaluation across the data pipeline.</li></ul><div><strong><br>3. Delivering Business Value and Self-Service Enablement (Sigma/Tableau)<br></strong><br></div><div><strong>Outcome:</strong> Expand data accessibility and operational efficiency through self-service capabilities, reducing ad-hoc requests and empowering teams across the organization (e.g., achieving measurable efficiency gains).</div><div><strong><br>Deliverables:</strong></div><ul><li>Curate, maintain, and deploy reliable, purpose-built data assets (data marts) optimized for use in BI tools such as Sigma and Tableau.</li><li>Identify opportunities to automate manual data processes to improve runtime, reduce errors, and enhance data quality.</li><li>Partner with stakeholders to ensure data assets are practical, well-structured, and aligned to key business goals.</li></ul><div><strong><br>Qualifications<br></strong><br></div><div>A Successful Candidate Will:</div><ul><li><strong>Drive Results: C</strong>onsistently achieve measurable benchmarks and optimize delivery speed while maintaining quality and reliability.</li><li>Possess a <strong>Strategic Mindset</strong>: Ability to define mid- and long-term technical direction for data assets that align with overall business objectives.</li><li><strong>Collaborate</strong>: Ability to work effectively in a fully distributed, cross-functional team environment, communicating clearly with both technical and non-technical audiences.</li><li>Be <strong>Action Oriented: </strong>Strong analytical mind and proactive problem-solving abilities, with the capacity to adapt quickly to new technologies and operational changes.</li></ul><div><strong><br>Technical Qualifications<br></strong><br></div><div>Required:&nbsp;</div><ul><li><strong>Experience: </strong>3–5 years of dedicated experience in a Data Engineering, Analytics Engineering, or Data Science role, preferably within a high-growth SaaS environment.</li><li><strong>Programming &amp; Databases: </strong>Advanced proficiency in SQL for data querying, manipulation, and optimization. Proficiency in Python for scripting, pipeline development, and data processing.</li><li><strong>Core Stack Mastery:</strong><ul><li><strong>dbt (Data Build Tool): </strong>Proven success designing and implementing complex, modular data transformations using dbt Core, including Jinja templating, testing, and documentation generation. Documented certifications are a plus.</li><li><strong>Snowflake: </strong>Deep operational experience with Snowflake architecture, performance tuning, and optimizing data loading mechanisms (e.g., Snowpipe).</li><li><strong>Fivetran: </strong>Experience managing, optimizing, monitoring, and configuring automated data ingestion pipelines using Fivetran or a similar automated EL tool.</li><li><strong>BI/Consumption Layer: </strong>Familiarity with data consumption enablement using Sigma, Tableau, or similar BI tools, and the ability to design data models optimized for analytical performance.</li><li><strong>Data Governance: </strong>Knowledge of data governance principles, including data privacy, security, and compliance best practices</li></ul></li></ul><div><br>Preferred:</div><ul><li>Familiarity with <strong>Stripe, Hubspot, and/or ZenDesk.</strong> &nbsp;</li><li>Familiarity with cloud environments (<strong>AWS or GCP</strong>) for managing data lake ingestion points (e.g., <strong>AWS S3, GCP Cloud Storage</strong>).</li><li>Experience with Reverse ETL workflows (e.g., <strong>Hightouch, Census</strong>).</li><li>Experience with <strong>git dbt</strong> <strong>integration</strong> best practices.</li><li>Experience utilizing modern orchestrators such as <strong>Airflow, Dagster, or Google Cloud Composer</strong> for scheduling and dependency management.</li><li>Familiarity with <strong>StatSig, Amplitude</strong>, or other <strong>Product Development Feature Testing</strong> tools.</li></ul><div><strong><br>Additional Information<br></strong><br></div><div>The starting annual salary for this role is between <strong>$120,000- $150,000.</strong></div><div><strong><br>Benefits</strong></div><div><br>Health insurance, dental, vision for your family, 401K, paid time off, sick leave, parental leave, and more. We believe taking care of our team is important and want to be sure you have what you need.&nbsp;<br><br></div><div><strong>Tithe.ly is an Equal Opportunity Employer<br></strong><br></div><div>Yourgiving, Inc. DBA Tithe.ly (herein, “the Company”) is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race (including hairstyles), color, alienage or national origin, ancestry, citizenship status, sex, gender, gender identity, pregnancy, childbirth or related medical condition, religious creed, physical disability or handicap, mental disability or handicap, age, medical condition (cancer), marital status, veteran status, sexual orientation, genetic information, arrest record, or any other characteristic protected by federal, state or local law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.</div>

Data Engineer

<div>Are you passionate about uncovering insights that shape strategy and presenting them in a way that inspires action? At Ligonier Ministries, we’re looking for a Data &amp; Reporting Analyst to join our Analytics &amp; Information Management (AIM) team within the Technology &amp; Innovation Department (T&amp;I). This is a senior role for an analytics expert with the engineering depth to occasionally support the data pipelines that power their work. As part of AIM, you’ll transform organizational data into trustworthy, real-time intelligence that advances Ligonier’s mission. From designing intuitive Power BI dashboards to architecting secure, automated data solutions, you’ll help decision-makers see clearly and act confidently. And when bottlenecks arise, your flexibility to step into data engineering ensures progress doesn’t stall at critical moments.</div><div>&nbsp;</div><div>This position is fully remote, giving you the opportunity to contribute your skills from anywhere in the U.S. while partnering with a team committed to excellence, innovation, and stewardship.</div><div>&nbsp;</div><div><strong>What You’ll Do</strong></div><ul><li>Architect and maintain enterprise-scale data solutions across Azure Synapse, Fabric, SSIS/ADF, and related platforms.</li><li>Deliver clear, executive-ready analytics with Power BI and Power Apps.</li><li>Automate workflows with Power Automate and CI/CD pipelines to streamline operations.</li><li>Champion data governance, quality, and security (GDPR, PCI, encryption, RBAC).</li><li>Serve as a trusted liaison between Technology &amp; Innovation and ministry leaders.</li><li>Mentor fellow analysts and evaluate emerging Microsoft data technologies.</li></ul><div><br></div><div><strong>What You’ll Bring</strong></div><ul><li>7–10+ years of progressive experience in analytics and BI solution delivery.</li><li>Strong expertise in Microsoft Data Platform tools (SSIS, ADF, Synapse, Fabric, TSQL, Delta tables).</li><li>Advanced proficiency with Power BI (DAX, dataflows, incremental refresh) and the Power Platform.</li><li>Experience architecting Azure SQL, data lakehouse, and Databricks environments.</li><li>Proven ability to implement data quality, governance, and DevOps best practices.</li><li>Excellent communication and collaboration skills.</li><li>Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field—or equivalent experience.</li><li>A commitment to Ligonier’s General Statement of Faith.</li></ul><div><br>This is a role with meaningful impact in a non-profit Christian ministry. We highly encourage you to include a cover letter with your application.</div><div><br>At this time, we are only able to hire individuals authorized to work in the United States.</div><div>&nbsp;</div><div>The pay range for this position is $105,000 – $118,000 annually. Pay ranges represent the lowest to highest salary we reasonably believe we would pay for this role at the time of posting. We may ultimately offer more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, geographic location, and organizational needs.&nbsp;</div>

Senior Data Analyst (Data & Reporting Analyst IV)

<div><strong>HOW YOU WILL IMPACT THE BIG PICTURE:</strong></div><div><br></div><div>As the Engineering Manager, Data Engineering, you will lead the design and operation of a modern, mission-driven data ecosystem for the world’s largest Catholic media network. You’ll own the architecture, implementation, and sustainment of our data platforms—deploying a Customer Data Platform (CDP), a scalable cloud lakehouse/warehouse (e.g., Microsoft Fabric, Snowflake), and cross-platform analytics tools (Mixpanel, PostHog) to unify data across all digital properties.</div><div>You’ll combine hands-on data engineering expertise with strategic leadership to transform fragmented donor, marketing, and content data into actionable insights that power evangelization, audience engagement, and operational efficiency.&nbsp;</div><div><br></div><div><strong>WHAT YOU WILL DO:</strong></div><div><br></div><div>· <strong>Architect &amp; Build:</strong> Implement a unified data lake using medallion architecture (Bronze/Silver/Gold layers) to ingest, cleanse, enrich, and activate data from sources like Virtuous CRM, HubSpot, FlexFormz, and streaming/video platforms.</div><div>· <strong>Integrate &amp; Automate:</strong> Create robust ETL/ELT pipelines with tools like dbt, Apache Airflow, and Fabric Dataflows to deliver Supporter 360 and Household 360 views, enabling identity resolution and multi-touch attribution.</div><div>· <strong>Enable Insights:</strong> Partner with analysts and business teams to design metrics, dashboards (Power BI), and self-service data products that support fundraising, marketing, and content strategy.</div><div>· <strong>Champion Data Quality:</strong> Establish governance, automated hygiene loops (email, address, phone validation), and standardized identity matching rules, ensuring compliance with GDPR/CCPA.</div><div>· <strong>Lead &amp; Collaborate:</strong> Manage a small engineering team and vendor partners, mentoring talent while working cross-functionally with Product, Marketing, Mission Advancement, and Content teams.</div><div>· <strong>Activate Data:</strong> Drive real-time data activation via APIs, reverse ETL, and CDP integrations for personalized, omni-channel engagement.</div><div><br></div><div><strong>ABOUT YOU:</strong></div><div><br></div><div>· 7+ years in data engineering/architecture, with at least 3 years in leadership roles.</div><div>· Proven experience with cloud data platforms (Microsoft Fabric, Snowflake, Databricks, or similar) and modern pipeline tools (dbt, Airflow, Fivetran).</div><div>· Expertise in data modeling, identity resolution, and integrating diverse sources (CRM, marketing automation, e-commerce, OTT).</div><div>· Strong SQL, Python, and BI/visualization skills (Power BI, Tableau, Looker).</div><div>· Experience with data governance, privacy compliance, and vendor management.</div><div>· Familiarity with legacy systems, such as Virtuous CRM.</div><div>· Experience with digital media or streaming analytics.</div><div>· Passion for leveraging data in service of a faith-based, mission-driven organization, ideally a practicing Catholic with spiritual maturity.&nbsp;</div><div><br></div><div><strong>WHAT YOU’LL LOVE ABOUT WORKING HERE:</strong></div><div><br></div><div>· We offer a career with purpose! Apply your God-given talents, knowing your contributions help to advance EWTN’s mission of sharing the Gospel with the world.</div><div>· Caring environment.&nbsp; We value the importance of family/life balance and welcome you as an EWTN family member, not just an employee.</div><div>· Worship at work! Freedom to participate in Mass, visit the chapel for prayer or attend an annual retreat.</div><div>· Competitive salary and comprehensive benefits package including Health, Dental, Vision, Life &amp; Disability insurance and Retirement Savings Plan.</div><div>· 11 Paid Holidays and generous Paid Time Off program.</div><div>· Tuition reimbursement for online continuing education and degree programs through our partnership with Catholic International University.</div><div>· Ability to learn alongside legacy employees while bringing new ideas to the growing team.</div>

Engineering Manager, Data Engineering

<div>Want to make a difference? Join an organization that has been transforming lives for over 40 years!<br><br>As a Christian non-profit, Prison Fellowship® trains and inspires churches and communities—inside and outside of prison—to support the restoration of those affected by incarceration. We equip correctional leaders, volunteers, and incarcerated men and women to make prisons more rehabilitative places; we advocate for a more restorative criminal justice system; and we collaborate with churches and local service providers to support former prisoners, their families, and their communities.<br><br>Prison Fellowship® is an organization committed to the highest standards of conduct, ethics and Christian values. Our conduct is guided by and grounded in the Bible, as reflected in our Statement of Faith below.<br><br><strong>What we are looking for:</strong><br>A driven and mission-focused <strong>Sr. Manager, Software Engineering, Salesforce and Data</strong> to impact both ministry and business operations including Salesforce, Enterprise Data Integration, Data Warehousing, and Business Intelligence. As a software engineering leader, you will manage a software engineering team, including contractors, in the development of software, database, and integration solutions. The ideal candidate will have strong software engineering skills, leadership, mentorship, and communication skills.<br><br><strong>Expectations of this role:</strong></div><ul><li>Maintain an active relationship with Jesus Christ and support the ministry through prayer and actions</li><li>Manage and guide software engineering staff and contractors</li><li>Collaborate with Product Delivery Managers, other engineering teams, and leadership</li><li>Create and contribute to technical design documentation</li><li>Ensure development comports with best practices, PFM policies, and IT strategy</li><li>Ensure the use of approved tools, languages, frameworks, and platforms</li><li>Analyze platforms and tools and make recommendations for improvement</li><li>Help manage hosting environments and use request/incident ticket tracking and project management systems as needed</li></ul><div><br><strong>Qualifications:</strong></div><ul><li>Strong technical expertise in Salesforce or other enterprise CRM platform</li><li>Strong technical expertise in Data Warehousing technology</li><li>10+ years of management experience, 3+ years of experience leading software engineering teams</li><li>Bachelor's degree in computer science/engineering or equivalent experience</li><li>Strong background in software development, designing data models, data integration, data warehousing, and supporting analytics</li><li>Sound experience with GitHub, code management, merges, and deployments</li><li>Agile-like and Waterfall environment experience</li><li>Experience with CI/CD and Devops processes</li><li>Experience building web applications&nbsp;</li><li>Experience building and using APIs to integrate systems and SaaS environments</li><li>Knowledge and practical application of open source solutions is a plus</li><li>This is a remote/work from home position in the US with a 5% travel component and office hours are 8:30 AM - 5:00 PM EST</li></ul><div><br><strong>What we offer: </strong><br>At Prison Fellowship, our goal is to support the total well-being of all our employees. Our benefit offerings for full-time employees include health, dental, vision, life, and disability insurance, retirement account funding, flexible spending accounts, paid maternity and parental leave benefits, and more. Our outstanding benefits package includes paid leave starting at 39 days (14 holidays, 15 vacation days, 10 sick days) after one year of employment. Part-time employees working at least 20 hours per week on a regular basis are eligible for select offerings, not inclusive of health benefits, on a pro-rated basis. In addition, we offer a team-oriented, mission-driven, supportive environment with cutting-edge technology solutions and tremendous opportunity for growth and development. <br><br>Salary at Prison Fellowship is determined by a variety of factors. For this position, the salary range is projected to be between $113,000 and $130,000.<br><br>Visit the employment page on our website to learn more about Prison Fellowship.<br><br>Check out our YouTube channel to see how Prison Fellowship is transforming lives!<br><br><strong>OUR STATEMENT OF FAITH</strong><br><br><strong>The Foundation of What We Believe</strong><br>As a Christian organization, Prison Fellowship believes in the full authority of the Bible as God’s inspired word and the complete tenets of the Apostles’ Creed and the Nicene Creed.<br><br>We believe in one God, Creator and Lord of the Universe, the co-eternal Trinity; Father, Son, and Holy Spirit. We believe that Jesus Christ, God’s Son, was conceived by the Holy Spirit, born of the Virgin Mary, lived a sinless life, died a substitutionary atoning death on the cross, rose bodily from the dead and ascended to heaven where, as truly God and truly man, He is the only mediator between God and man. We believe that the Bible is God’s authoritative and inspired Word, without error in all its teachings.<br><br><strong>How We Are Compelled to Live and to Act</strong><br>We believe that Christians, both individually and corporately, must submit to the Bible as God’s authoritative, divine and inspired Word, in all matters of belief and conduct.</div>

Sr. Manager, Software Engineering

<div><strong>About Us</strong></div><div><br>Virtuous is on a mission to inspire global generosity by helping nonprofits build better relationships with their donors. We offer a modern software platform that provides mid-sized charities with elegant tools for fundraising, marketing, volunteerism, and online giving.</div><div><br>Our talented team is driven to disrupt the status quo in the nonprofit sector. We are hungry, humble, and committed to delivering best-in-class software solutions, customer success interactions, and sales experiences to the world’s leading nonprofits&nbsp;</div><div>&nbsp;</div><div><br>We also recognize the importance of giving back and making a difference in the communities where we live and work. That's why we practice radical generosity by volunteering at nonprofits or going the extra mile for our team and the customers we serve. We take our work seriously, but we don’t take ourselves too seriously. We believe that life is too short not to love what you do.&nbsp;</div><div><br>The ideal candidate for Virtuous embodies our values by:</div><ul><li>Asking questions with a spirit of curiosity</li><li>Giving feedback freely with candor &amp; grace, welcoming it in return</li><li>Displaying a passion for philanthropy and technology&nbsp;</li><li>Serving with joy. Everyone is willing to make the coffee!</li><li>Celebrating the wins &amp; milestones of others&nbsp;</li><li>Assuming good intent &amp; demonstrating trust in others&nbsp;</li><li>Pursuing relationships with people different from themselves &amp; creates space to be human</li></ul><div><strong><br>Position Summary</strong></div><div><br>A Virtuous Data Migration Engineer will be in charge of extracting, mapping, formatting, and importing client data from legacy systems to Virtuous for our biggest and most sophisticated nonprofit customers. Common legacy systems include but are not limited to Blackbaud Raiser’s Edge, eTapestry, Salesforce, DonorPerfect, etc.</div><div><br>They must understand data structure, determine data relationships and become a Virtuous expert to properly map data into the most strategic areas within Virtuous. Virtuous Data Migration Engineers manage migrations that are most often seen as complex and custom, without a predetermined mapping structure.This role requires proficient knowledge of SQL and relational databases.</div><div><br>Exceptional time management, organization, and the ability to work with a project manager to set and meet deadlines is a necessity. This is a customer facing role with an average of 6-12 hours of customer facing time per week. Oftentimes customers will be organizational leaders and will require professional communication skills.</div><div><br>This role, though collaborative, will require a self driven individual who is extremely detail oriented and is comfortable problem solving complex data issues and integrating small details with higher-level customer data strategy. Must have an aptitude for learning software and innovation.</div><div><br>In this role you will...</div><ul><li>Understand the varying needs of nonprofits, and how to migrate associated fundraising data to Virtuous in line with best practices</li><li>Get excited about mapping, joining, transforming and cleaning large, complex data sets using ETL tools with an emphasis on SQL</li><li>Feel comfortable scoping complex migrations with our nonprofit customers during and/or post sale to help determine an implementation project plan</li><li>Collaborate with our internal team on data migration strategy, tooling, and questions</li></ul><div><strong><br>Requirements</strong></div><ul><li>4+ years of experience working in Data Migration and/or a SQL / dbt environment</li><li>Experience writing complex SQL scripts and transformations</li><li>Experience with dbt is a strong plus</li><li>Experience with Snowflake is a plus</li><li>Experience with GitHub is a plus</li><li>Knowledge of XML, SSMS and Python is a plus</li><li>Experience working with nonprofit software is a plus</li><li>Comprehensive understanding of the ETL process</li><li>Deep knowledge &amp; understanding of database design, setup, and maintenance</li><li>Interest in becoming an expert in nonprofit fundraising and Virtuous products</li><li>Strong written and oral communication skills and a collaborative approach to implementing new processes</li></ul><div><strong><br>What We Offer</strong></div><ul><li>Market competitive pay leveraging Carta data</li><li>Employee recognition through Bonusly (birthdays, anniversaries, achievements, etc.)</li><li>401(k) retirement plan with company matching- 50% match up to 6% of compensation after 90 days</li><li>We value our employee’s work-life balance and encourage taking advantage of Unlimited PTO</li><li>Supportive time off including paid volunteer days and company holidays</li><li>Employer-contributed healthcare benefits, encompassing medical, dental, and vision coverage, with plans available for dependents and choices for Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA).</li><li>12 weeks primary parent leave, 4 weeks secondary parent leave - full pay (adoption as well)</li><li>We pride ourselves on Community and host exciting company outings and events.</li></ul><div><br>We’ve recently noticed an increase in recruitment scams where individuals are impersonating recruiters to obtain personal or financial information through fraudulent interviews and job offers.</div>

Data Migration Engineer

<div><strong>About Differential<br></strong><br></div><div>Differential is growing! Yep, it turns out clients like us :) Our team of designers, developers, jokesters, and all around good folk needs more firepower. We’re proudly headquartered in Cincinnati, OH, but our team spans across the country.</div><div><br></div><div>In addition to only choosing the best group of people to work around, we are also very picky about the types of clients we’ll work with. In line with our mission to rapidly unlock value for good people with meaningful ideas, we partner with forward-thinking corporate pioneers and innovators to revolutionize their organizations from the inside out and bring great digital products to life. This translates to a diverse range of products like transforming retail with Adidas, helping Lexmark innovate cross-industry, streamlining the sales process with Big Ass Fans, to multi-platform mobile apps for large audiences with Crossroads Church.<br><br></div><div>We hire great, trustworthy people so that we can optimize for a free &amp; flexible culture: flexible hours, unlimited vacation, remote work, and working on stuff you’re excited about.<br><br></div><div>The ideal candidate for this opening is someone who has a strong passion for building scalable data systems that drive meaningful outcomes. You care just as much about clean, reliable data as you do about how it’s used—whether that’s powering customer insights, supporting internal analytics, or syncing across platforms. You thrive in environments where you can collaborate across teams, own your workflows, and bring systems to life that just <em>work</em>.<br><br></div><div>At Differential, our data engineers partner with Engineering, Product, and Customer Success to understand what matters most to our users, and then build the pipelines and infrastructure to support it. You’ll bring a thoughtful, iterative mindset to your work—balancing technical excellence with pragmatic decision-making.<br><br></div><div>Above all, we are focused on finding someone that we love to work with. Culture to us isn’t a ping pong table in the breakroom or some words we put up on the wall. It’s embedded in our DNA and starts with our hiring process. We want to consider passionate people for this position.<br><br></div><div>Our mission statement, core values, benefits, and more can be found at handbook.differential.com.&nbsp;<br><br></div><div><strong>Job requirements<br></strong><br></div><div><strong>What we’re after:</strong></div><ul><li>Passion for meaningful data work: You care about clean data, scalable systems, and making sure data is accurate, useful, and accessible.</li><li>Proven experience in data engineering: 3–5+ years working with ETL processes, Postgres/Database, Airflow DAGs, and relational databases.</li><li>Practical approach to reliability: You understand that perfect data is a myth, but solid observability and smart design make a difference.</li><li>Strong technical foundation: You have experience with tools like Airflow, Postgres/Database, PostgreSQL, BigQuery, and APIs (REST, SOAP, OData).</li><li>Proficiency in Python: You can build and maintain modern ETL pipelines using clean, efficient code.</li><li>Cross-functional collaboration: You’ve worked closely with Product, Engineering, and non-technical teams to gather requirements and deliver outcomes.</li><li>Empathy and communication: You can translate technical complexity into clarity and support others in understanding data constraints.<br><br></li></ul><div><strong>Responsibilities of this position include:</strong></div><ul><li>Designing, building, and maintaining reliable data pipelines and Airflow DAGs, Postgres/Database</li><li>Owning integrations between Apollos and customer platforms (e.g., ChMS systems)</li><li>Monitoring sync health and resolving issues quickly</li><li>Defining and delivering metrics in partnership with Product, Marketing, and Customer Success</li><li>Architecting data export systems for customer-owned platforms</li><li>Documenting systems to support transparency, maintainability, and scale</li><li>Ensuring alignment with product processes (e.g., Linear, Basecamp, Cycle Pulse)</li><li>Continuously improving the performance, reliability, and scalability of our data infrastructure</li></ul><div><br></div><div><strong>What you can expect to do:</strong></div><ul><li>Collaborate with cross-functional teams to deliver impactful, data-driven solutions</li><li>Work iteratively in focused six-week cycles alongside a supportive team</li><li>Gain a deep understanding of our users, their data needs, and how our systems empower them</li><li>Ship reliable, maintainable systems that fuel analytics and operational success</li><li>Continuously learn and grow in both technical and collaborative skills</li></ul><div><br></div><div><strong>Differential employees are those who:</strong></div><ul><li>Communicate effectively with clients and teammates</li><li>Are self-motivated</li><li>Learn quickly and relentlessly</li><li>Are curious about technology and the impact it can make on the world</li><li>Enjoy taking ownership and responsibility for their work</li><li>Enjoy collaborating with others on solving meaningful problems</li></ul><div><br></div><div>Candidates must be based in the United States and be available during standard business hours for both client and team meetings. Specific times vary based on client-specific timezone preferences. There is flexibility in working hours, but there is an expectation to be able to regularly attend client and team meetings.<br><br></div><div>Differential is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.<br><br></div><div>​​As part of our commitment to maintaining a legal and compliant workforce, we participate in the E-Verify program.&nbsp; For more information about E-Verify, please visit the U.S. Department of Homeland Security website at www.e-verify.gov.&nbsp;</div>

<div><strong>Data Integration + Insights Engineer (Part-Time)</strong></div><div>Do you enjoy the challenge of turning scattered data into something useful, meaningful, and clear? Are you comfortable writing queries, building scripts, and navigating multiple systems—but motivated by how your work ultimately serves people, not just numbers? Practicing the Way is looking for a part-time Data Integration &amp; Insights Engineer to help us steward our data well, so we can better support churches, small groups, and individuals following the way of Jesus.</div><div><br><br></div><div><strong>About the Role<br></strong>The Data Integration &amp; Insights Engineer helps us connect and make sense of the many streams of data that support our mission. From our PostgreSQL-based platform and Planning Center to Salesforce, this role brings together information from across the organization to create a clearer picture of how people are engaging with the practices of Jesus and how we can serve them more intentionally.</div><div>Whether it’s writing a complex SQL query, automating a monthly report, or building a dashboard that helps a team know who to follow up with, your work will help ensure that every team has the right information at the right time to care well for people and make thoughtful decisions.</div><div><br>This role requires someone who’s both technically capable and collaborative —someone who can navigate APIs and data models, but also enjoys partnering with others to solve real problems. You’ll work closely with the Pathways, Church Formation, Invitation, and Generosity &amp; Prayer teams to turn raw data into meaningful insights.</div><div><br>A mix of problem-solving, and attention to detail is essential. You’ll need to move between writing clean scripts, troubleshooting bugs, and translating technical output into something accessible and actionable. You’ll collaborate often with our Technology Lead and other team leads to build trustworthy systems, maintain data health, and bring clarity to the work we’re doing across the organization.<br><br><br></div><div><strong>This Role Collaborates Closely With:</strong></div><ul><li>The Technology Lead to shape system architecture, maintain data integrity, and manage integrations</li><li>Pathways, Church Formation, Invitation, and Generosity &amp; Prayer teams to identify data needs and translate them into solutions</li><li>Leadership, to support strategic visibility and organization-wide decision-making</li><li>Salesforce admins and developers to improve the flow and accessibility of data across systems</li></ul><div><br></div><div><strong>What You’ll Do<br><br>Connect and organize data across systems</strong></div><ul><li>Write SQL queries to pull and structure data from our PostgreSQL database (churches, users, groups, SHR, Rule of Life, etc.)</li><li>Use JavaScript or similar scripting languages to call APIs gather data from systems like Planning Center and Salesforce</li><li>Build one-time or reusable scripts to process, filter, and merge data for reports, follow-up lists, or internal needs as they arise</li></ul><div><br></div><div><strong>Create clear reporting and visibility for teams</strong></div><ul><li>Build and maintain dashboards (Google Looker Studio, Salesforce, or Google Sheets) that surface meaningful data for the right teams</li><li>Automate recurring reports and metrics that help track participation, engagement, giving, or growth over time</li><li>Provide clean data exports or summaries to help teams send thank-yous, identify opportunities, and better care for people</li></ul><div><br></div><div><strong>Ensure quality and build trust in our data</strong></div><ul><li>Troubleshoot bugs and system limitations when things break or need refinement</li><li>Understand the data being gathered in order to judge the accuracy of queries, and respond to follow-up questions about the data from stakeholders</li><li>Maintain a clear and organized documentation trail so teammates can use the tools with confidence</li></ul><div><br></div><div><strong>About You</strong></div><div><strong><br>You’re rooted in Jesus</strong></div><div>You arrange your life around being with Jesus, becoming like Him, and doing what He would do if He were you. You’re a committed part of a local church and affirm our Statement of Faith (as an integrated auxiliary of Bridgetown Church, we share a statement of faith).<br><br></div><div><strong>You bring both technical skill and a heart to serve</strong></div><ul><li>3–5+ years of experience working with data, engineering, or analytics</li><li>Confident writing SQL and working with relational databases (PostgreSQL experience is a plus)</li><li>Comfortable using JavaScript, Python, or similar tools to build lightweight scripts and automate data work</li><li>Experience with Salesforce, or similar CMS / database</li><li>Familiar with data visualization and reporting tools like Google Looker Studio or Salesforce dashboards</li><li>Strong communication skills—you know how to translate technical details into clear takeaways for others</li><li>Familiarity with Planning Center is a plus</li><li>You work well independently, stay organized, and enjoy helping others solve real-world problems</li></ul><div><br><strong>Details<br></strong>Employment Type: Contract (Part-Time)<br>Time Commitment: 8–10 hours per week<br>Location: Fully Remote<br>Compensation: Hourly, $40 - $70/hour based on experience and fit for the role<br><br><strong>About Practicing the Way<br></strong>Practicing the Way creates beautiful resources and experiences for spiritual formation, helping churches train people to practice the Way of Jesus. Through practices like Sabbath, Prayer, and Community, we aim to help people not only learn about Jesus, but become like Him—together.&nbsp;</div>

Data Integration + Insights Engineer (Part-Time)

<div>At Habitat, we believe data drives everything we do – from fundraising, event planning, solicitation of volunteers, advocacy for safe and affordable housing, partnerships, and government/grant programs to engage, serve, and support our constituents. As such, we are seeking a Senior Data Engineer to join our Data Management Team. The primary responsibility in this role includes managing and optimizing Habitat’s enterprise data systems. This role is ideal for someone with extensive experience in data management, a strong background in computer science, and excellent communication skills.<br><br><strong>Essential Duties and Responsibilities:</strong><br>• Troubleshooting and Optimization: Troubleshoot data-related issues and continuously optimize data systems for better performance. (25%)<br>• Data Pipeline Management: Develop and oversee data pipelines that ensure smooth data flow from various sources to storage and processing systems (20%)<br>• Design and Build Data Systems: Create and maintain Habitat’s data systems, databases, and data warehouses to store and manage large volumes of data (20%)<br>• Collaboration: Work closely with Director of Data Management, data architects, data analysts, and other stakeholders to understand data needs and implement approved data solutions (20%)<br>• Data Compliance and Security: Ensure that data systems comply with security standards and regulations, protecting sensitive information. (10%)<br>• Team Guidance: Provide technical guidance in best practices and project execution. (5%)<br><br>Note: % of time commitment will fluctuate based on product need.<br><br><strong>Minimum Qualifications:</strong><br>• Education: Bachelor’s Degree (Related Technical Discipline)<br>• 6+ years hands on experience in data engineering, data system development, or related roles<br><br><strong>Requirements:</strong><br>• Familiarity with multiple data architecture design patterns<br>• Ability to build, maintain and improve data architecture, data collection and data storage systems<br>• Ability to write and interpret code/support the Agile teams as needed<br>• Proficiency in ETL/ELT technologies with focus in Microsoft technology stack<br>• Extensive programming experience of data processing languages (SQL/T-SQL, Python, Java, JavaScript)<br>• Strong computer science background and knowledge of software development methodologies<br>• Proficiency in cloud delivery models, cloud platforms, cloud storage, data streaming, and data frameworks (SaaS/DaaS/PaaS/IaaS, Azure, microservices, Dmbok2, TOGAF)<br>• Strong skills in relational databases and data warehousing<br>• Familiarity with big data tools such as Kafka, Spark, Hadoop<br>• Expertise in code management utilizing GitHub/Visual Studio<br>• Experience utilizing productivity tools with specialty utilizing Jira<br>• Experience with DevOps practices, configuration frameworks and CI/CD automation tooling<br><br><strong>Soft Skills:<br></strong>• Ability to communicate complex technical concepts to non-technical stakeholders<br>• Effective in working both independently and within a team<br>• Diligent, rigorous, and collaborative<br>• Strong problem-solving and analytical abilities<br>• Ability to work collaboratively in a fast-paced environment<br><br><strong>Preferred – in addition to minimum:</strong><br>• Certification in Data Engineering preferred<br>• Certified SAFe 6 Practitioner<br>• Experience with large-scale enterprise transformations<br>• Proficiency in data visualization (Power BI, Tableau, MS Excel)<br>• Experience working with Kubernetes<br>• Experience working in a matrixed organization<br>• Active support of HFHI Values:<br>o <strong>Humility</strong> – We are part of something bigger than ourselves<br>o <strong>Courage</strong> – We do what’s right, even when it is difficult or unpopular<br>o <strong>Accountability</strong> – We take personal responsibility for Habitat’s mission<br>• <strong>Safeguarding:</strong> HFHI requires that all employees take seriously their ethical responsibilities to safeguarding our intended beneficiaries, their communities, and all those with whom we work. Managers at all levels have responsibilities to support and develop systems that create and maintain an environment that prevents harassment, sexual exploitation, and abuse, safeguards the rights of beneficiaries and community members (especially children), and promotes the implementation of Habitat for Humanity’s code of conduct.<br><br><strong>The actual salary offered for this role will be based on a variety of factors, including location, internal equity and the candidate’s qualifications and professional experience. HFHI offers a competitive, comprehensive benefits package that varies by country and typically includes vacation leave, sick leave, personal days, health insurance options, retirement plan contributions and life insurance. For work locations in the US, the hiring range for this position is $86,700 to $102,000.</strong></div>

Senior Data Engineer

<div><strong>Join Tithe.ly, </strong><strong><em>We’re on a Mission</em></strong></div><div>We’re a fully remote tech company that puts the Church first, serving over 37,000 churches around the world. We’re on a mission to see the local Church have the financial stability and resources needed to build the Kingdom of God. We work every day to deliver world-class, cost-effective technology tools to make the church's business just a bit easier.</div><div><br></div><div><strong>Sr. Data Engineer</strong></div><div>The Senior Data Engineer will play a critical role in designing, building, and maintaining high-performance data pipelines and infrastructure to support scalable analytics and data science initiatives. This role is responsible for optimizing our data architecture, enabling efficient data collection, storage, and processing, and ensuring data quality across a variety of sources. The ideal candidate will have extensive experience in data engineering, be skilled in cloud technologies, and be passionate about delivering data solutions that drive business impact.</div><div><br></div><div><strong>Primary Responsibilities of the Role</strong></div><ul><li>Data Pipeline Development: Design, build, and maintain reliable, scalable ETL (Extract, Transform, Load) processes and data pipelines to collect, clean, and process large datasets into our data warehouse.</li><li>Data Infrastructure and Architecture: Architect and manage data warehousing and data lake solutions in cloud environments to support business analytics.</li><li>Data Quality and Governance: Implement best practices for data quality, validation, monitoring, and governance to ensure high data integrity and compliance with relevant standards.</li><li>Cross-Functional Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and optimize infrastructure to support business goals.</li><li>Optimization and Performance Tuning: Monitor and enhance database performance, tuning SQL queries, and optimizing storage and access patterns for fast, reliable data access.</li><li>Cross-Functional Tool Integration: Lead the integration of various cross-functional tools (e.g., HS, Zendesk, analytics platforms) into a central data lake to create a unified, accessible data source for all departments. This includes designing standardized ingestion processes, ensuring data consistency, and establishing efficient data flows across systems to facilitate seamless access and analytics across the organization.</li></ul><div><br></div><div><strong>A Successful Candidate Will:</strong></div><ul><li>Ensure Accountability: Holds self and others accountable for meeting data quality and delivery commitments. Sets clear responsibilities, establishes effective monitoring processes, and takes ownership of ensuring reliable data solutions. Designs feedback loops to consistently improve work quality and results.</li><li>Manage Complexity: Demonstrates skill in navigating complex data structures and multi-source integrations, applying critical thinking to solve intricate data challenges. Asks insightful questions and applies a structured approach to analyze, troubleshoot, and optimize data solutions effectively.</li><li>Be Action-Oriented: Urgently and energetically takes initiative on technical challenges. Seizes new opportunities to improve data systems, displaying a proactive, “can-do” attitude when tackling issues and advancing projects on schedule.</li><li>Collaborate Effectively: Builds strong cross-functional partnerships, working closely with product, analytics, and data science teams to understand their needs and ensure data infrastructure supports their goals. Establishes trust, communicates clearly, and works towards shared objectives.</li><li>Communicate Effectively: Delivers clear, timely information across teams, tailoring communication for diverse audiences. Effectively explains complex data processes and technical decisions to non-technical stakeholders, ensuring alignment on data infrastructure initiatives.</li></ul><div><br></div><div><strong>Technical Qualifications</strong></div><ul><li>Experience: 5+ years in data engineering or a related field.</li><li>Technical Skills: Familiarity with Snowflake, RDBMS's, Git, Jira</li><li>Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).</li></ul><div><br></div><div><strong>Office Requirements:</strong></div><ul><li>We are a fully distributed team (100% remote) with travel required 1-2 times per year.</li><li>A stable work environment with designated workspace and access to high-speed internet.</li><li>US-based and legally able to work full time in the US. Sponsorships are not available at this time.</li></ul><div><br></div><div><strong>Benefits</strong></div><div>We offer health insurance, dental, and vision coverage for you and your family, a 401 (k), paid time off, sick leave, parental leave, and more. We believe taking care of our team is important and want to be sure you have what you need.</div><div><br></div><div><em>Tithe.ly is an Equal Opportunity Employer Yourgiving, Inc. DBA Tithe.ly (herein, “the Company”) is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race (including hairstyles), color, alienage or national origin, ancestry, citizenship status, sex, gender, gender identity, pregnancy, childbirth or related medical condition, religious creed, physical disability or handicap, mental disability or handicap, age, medical condition (cancer), marital status, veteran status, sexual orientation, genetic information, arrest record, or any other characteristic protected by federal, state or local law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, and general treatment during employment.</em></div><div><br></div><div><strong>Annual Compensation: $125k - $150k</strong></div>

Sr. Data Engineer

<div><strong>About Company</strong></div><div>Samaritan Ministries is a Biblical solution to health care. It is not insurance. We deliver authentic, compassionate, and personal service in the name of Christ to enable and inspire members to provide for one another’s medical needs through prayer, encouragement, and financial support.<br><br></div><div>From demonstrating Christ-centered compassion to modeling best practices in health care sharing, Samaritan Ministries is committed to keeping Jesus at the center of everything we do. The way we interact with our colleagues and engage with our members is a testament that we are ultimately serving Christ and His Kingdom.<br><br></div><div><strong>Summary</strong></div><div>To provide Samaritan Ministries International with data engineering services of designing and implementing data models while maintaining data fidelity and availability.<br><br></div><div>&nbsp;<strong>Competencies</strong></div><ul><li>Infrastructure</li><li>Analytical Thinking</li><li>Big Data Management</li><li>Data Mining</li><li>Data Governance and Compliance</li><li>Acting with Integrity, Empathy, and Compassion</li><li>Collaborating with Others</li><li>Neighbor Focus</li><li>Pursuing Excellence</li></ul><div>&nbsp;<br><strong>Key Responsibilities</strong></div><ul><li>Produce code to clean the data and ensure the quality of data</li><li>Design processes for transferring data into existing data lake</li><li>Extract and combine data from various heterogeneous data sources</li><li>Analyze complex data sources and assist in the design of new data feeds</li><li>Liaise and coordinate with external data providers to determine how to integrate data into the existing environment and data model</li><li>Support software developers and data scientists on data initiatives, and ensure that the data delivery is consistent across the entire project</li><li>Support quantitative analysts and data scientists with data discovery and rapid assembly of large data sets from disparate sources</li><li>Use modern data tools to support products and services by solving data integration challenges</li><li>Architect, create, and maintain data ETL processes.</li><li>Monitor extract schedules and triggers.</li><li>Develop, maintain, and enforce best practices with regards to data source-controlling, querying, and handling standards.</li><li>Contribute to data catalogs and dictionaries.</li><li>Assist data scientists and analysts with programming and automation needs.</li><li>Prepare and maintain architectures, data, and data models</li></ul><div>&nbsp;<br><strong>Qualifications and Experience</strong></div><ul><li>Master's Degree from an accredited university or the equivalent in education and experience.</li><li>Microsoft SQL Relational Database Management System (MSSQL DBMS) (Advanced)</li><li>Data process creation and architecture (Intermediate)</li><li>Coaching practices for querying data (Advanced)</li><li>Git repository management (Advanced) and pull request oversight</li><li>Extract, Transform and Load (ETL) (Advanced)</li><li>Python (Intermediate)</li><li>Structured Query Language (SQL) (Intermediate)</li></ul><div>&nbsp;</div><div><strong>Additional Information</strong></div><ul><li>Tasks are normally conducted in a regular office environment, requiring use of computer and mouse and other standard office equipment. Staff usually remain in a stationary position, often standing or sitting for prolonged periods.</li><li>Staff will observe safety principles while performing the duties of the position.</li><li>This position requires an active commitment to the mission and values of SMI. In the course of performing job duties, the employee will act in a manner that is Christ-honoring as well as Christ-like, demonstrating a personal Christian faith and witness in all interpersonal interactions.</li><li>Disclaimer: This job description is intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of responsibilities, duties and skills required of personnel in the classification. On occasion work hours may be irregular including performing duties on evenings or weekends.</li><li><strong>Full-time benefits include: Health benefits, Retirement, Paid Time Off. Starting Pay Range: $69,300-$86,600. Starting pay is based off of qualifications and experience.</strong></li></ul>

<div>Are you passionate about data, precision, and purpose? Do you possess the skills to architect, construct, and optimize data pipelines that fuel our mission? Are you seeking to work in a technical position with a community of dedicated professionals who share your values and passion for excellence?<br>&nbsp;<br>Ligonier Ministries, a Christian non-profit organization, is seeking a talented Data Engineer to work on the Data Services team. As a Data Engineer at Ligonier, you'll be at the forefront of transforming data into actionable insights. If you're ready to bring your data engineering expertise to a purpose-driven ministry, we'd love to hear from you!</div><div>&nbsp;</div><div><strong>Responsibilities</strong>:</div><ul><li>Design and implement data lakes, data stores, structured data, and a data warehouse using Azure Data Services framework to support business data needs.</li><li>Develop data pipelines and ETL processes to ingest, transform, and load data from various sources into the data warehouse.</li><li>Monitor and optimize data storage, processing, and retrieval performance to meet established SLAs.</li><li>Collaborate with stakeholders to understand and document data requirements, ensuring alignment with business objectives.</li><li>Perform data profiling, data cleansing, and data validation to ensure data integrity and quality.</li><li>Develop and maintain data documentation, including data definitions, data lineage, and data flow diagrams.</li></ul><div><br><strong>Requirements</strong>:</div><ul><li>Azure Services knowledge including the various data services it offers</li><li>Data integration and ETL&nbsp; - proficiency in designing and implementing Extract, Transform, Load processes&nbsp;</li><li>Data modeling and database management - ability to design and implement databases</li><li>Data warehousing - experience with the concepts and tools used for managing and analyzing structured and semi-structured data at scale</li><li>Data transformation and data preparation - proficiency in tools that enable advanced data transformation, analysis, and machine learning</li><li>Scripting and programming - proficiency in languages such as Python, Scala, or .NET</li><li>SQL and query optimization - strong SQL skills for querying and manipulating data efficiently</li><li>Agreement with Ligonier's General Statement of Faith</li></ul><div><br>This position is for a non-profit Christian organization located in Sanford, FL. At this time, we are only able to hire individuals who are authorized to work in the United States.<br><br>The pay range for this position is $75,000 - $95,000 annually. Pay ranges represent the lowest to highest salary we reasonably believe we would pay for this role at the time of posting. We may ultimately offer more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, geographic location, and organizational needs.</div>

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