<h3>Job Description</h3><p>Chick-fil-A, Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills, fostering inclusive teamwork, and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly, we ask Staff to seek wisdom, expect the best, accept responsibility, respond with courage, and think others first.</p><p>Our Flexible Futures Model offers a healthy mix of working in person (currently a minimum of 8-10 days per month) and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.</p><h3>Overview</h3><p>The Professional/Individual Contributor Staff member is responsible for performing work responsibilities, building relationships, and sharing expertise and experience as he/she contributes to specific bodies of work, builds connections, and optimizes performance.</p><p>As a Senior Lead Data Engineer, you will be responsible for leading complex project work as a part of a larger cross-functional team in support of Supply Chain. Sr. Lead Data Engineers typically design, implement, maintain, and optimize necessary analytics infrastructure on technically complex projects, focusing on developing solutions to data modeling and/or analytics technology needs. You must have a general understanding of Supply Chain operations and be able to quickly develop mastery of the needed subject area across Supply Chain.</p><p>Our Senior Lead Data Engineers work with wide latitude for action or decisions on projects that are more complex and cross-functional in nature. They serve as technical anchors within one or more product areas or platform capabilities, applying advanced knowledge to outcomes of complexity and providing technical leadership and consultation to peer engineers on the design patterns, modeling standards, and testing frameworks that keep data products consistent, scalable, and aligned to enterprise standards. They act as a subject-matter expert and resource on data and/or analytics technology, and they may represent SCDA in external conversations. They also assist with the selection or oversight of outside vendor partners. They are expected to influence the project execution of IT and analyst teams. Successful candidates for this role must have strong analytical and data modeling skills, a deep understanding of database technology and data use within analytic platforms, and they must have strong programming skills with SQL and Python.</p><p>We expect our Senior Lead Data Engineers to have demonstrated fluency in both the technology language of IT and the analyst language of Supply Chain. They bring deep experience developing and implementing data models for analytic use and strong proficiency with cloud database architecture. They apply seasoned judgment to ambiguous, multi-source data problems, balancing performance, cost, and maintainability, and they work steadfastly with cross-functional partners to create impactful change.</p><h3>Responsibilities</h3><ul><li>Exhibits wide latitude in aligning Supply Chain stakeholders and IT to translate business logic into scalable data and analytic solutions on complex projects.</li><li>Develops ETL pipelines for Supply Chain consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work.</li><li>Develops tool, data, and analytics best practices for SCDA and advises on their integration into operational practices.</li><li>Designs specific tool implementations, understanding Databricks, DBT, and cloud compute performance requirements and expectations.</li><li>Helps design patterns for efficient use of cloud compute resources.</li><li>Drives architecture decisions and establishes the technical approach for the product area, balancing performance, cost, and maintainability on ambiguous, multi-source data problems.</li><li>Defines design patterns, modeling standards, and testing frameworks for the product area, and leads design reviews to guide engineering work across the team.</li><li>Provides technical direction and mentorship to peer engineers, building capability across the product area without requiring managerial oversight.</li><li>Owns and is accountable for data model and code quality and any relevant documentation.</li><li>Acts as a technical anchor for one or more product areas or platform capabilities, owning end.</li><li>Implements data governance and master data management principles across specific project execution.</li><li>Acts as a subject matter expert and resource on data and/or analytics technology issues for the larger SCDA community.</li><li>Drives complex projects to success and enables others to own the impact.</li><li>Manages any needed maintenance and quality control on data pipelines or data products they have built which are actively in use.</li></ul><h3>Required Qualifications (Knowledge, Skills, & Abilities)</h3><ul><li>Has strong analytical and data modeling skills</li><li>Has a deep understanding of cloud database technology</li><li>Has a deep understanding of analytic platform data use</li><li>Has strong programming skills in SQL and Python</li><li>Has experience developing and implementing data models for analytic use</li><li>Has moderate experience with cloud database architecture</li><li>Has the skill to partner with cross-functional teams using strong written and verbal communication</li><li>Fast learner and proven problem solver</li><li>Keen eye for system thinking and process design, especially with respect to scalability and automation</li><li>Keen eye for detail and thoughtful investigation of data</li><li>Has a steadfast focus on creating impactful change</li></ul><h3>Preferred Qualifications (Knowledge, Skills, & Abilities)</h3><ul><li>Has some experience using the AWS big data technology stack</li><li>Has extensive experience with Databricks, dbt, Snowflake, or similar distributed platforms</li><li>Has extensive experience with Tableau or similar data visualization tools</li><li>Has some experience implementing data governance principles</li><li>Has experience defining engineering standards, design patterns, or leading design reviews for peer engineers within a product area or discipline</li></ul><h3>Required Years of Experience</h3><p>5</p><h3>Preferred Years of Experience</h3><p>10</p><h3>Travel Requirements</h3><p>10%</p><h3>Required Level of Education</h3><p>Bachelor's Degree</p><h3>Preferred Level of Education</h3><p>Master's Degree</p><h3>Required Major/Concentration</h3><p>MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields</p><h3>Preferred Major/Concentration</h3><p>MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields</p><h3>Relocation Assistance Provided</h3><p>No</p>

Sr. Lead Data Engineer

<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>The expected salary range for this position is $106,400.00 - $125,010.60. Employees in specific high cost of labor locations in the United States (such as San Francisco, CA and Seattle, WA) may qualify for a geographic differential. Compassion International is not responsible for third parties who omit this information when copying and re-posting job openings.</div><div><br>We’re seeking an Applied Data Scientist III to turn our backlog of AI use cases into scalable, production-ready solutions. This role is both hands-on technical and strategy, combining model development, system design, and operationalization in AWS alongside AI adoption and domain readiness. You’ll work to standardize efforts, drive measurable business impact, and elevate data science best practices across the team and enterprise. You’ll also represent AI platform capabilities to neighbor groups, translating complex ideas and needs into clear value, for both non-technical and technical stakeholders.&nbsp;</div><div><br><strong>What will you do?</strong> &nbsp;</div><ul><li>Maintains a personal relationship with Jesus Christ. Is a consistent witness for Jesus Christ, maintains a courteous, Christ-like attitude in dealing with people within and outside of Compassion, and faithfully upholds Compassion’s ministry in prayer.&nbsp;</li><li>Acts as an advocate to raise the awareness of the needs of children. Understands Christ’s mandate to protect children. Commits to and prioritizes child protection considerations in all decision-making, tasks and activities across the ministry. Abides by all behavioral expectations in Compassion’s Statement of Commitment to Child Protection and Code of Conduct. Reports any concerns of abuse, neglect or exploitation of children through Compassion’s internal reporting process and appropriately supports responses to incidents if they occur.&nbsp;</li><li>Uphold and engage in Compassion’s core <strong>Cultural Behaviors</strong>.&nbsp;</li><li>Develops, analyzes, and models operational, program, marketing, or other organizational data to analyze the competitive performance of Compassion's business segments.&nbsp;</li><li>Develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets. Further evaluates potential operational changes, and designs new approaches and data methodologies accordingly.&nbsp;</li><li>Performs exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross-channel outcomes. Further develops proofs of concept to verify ideas and closes the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients.&nbsp;</li><li>Translates complex analytical and technical concepts for non-technical team members to enable understanding and drive informed business decisions and AI adoption.&nbsp;</li></ul><div><br><strong>What do you bring?</strong>&nbsp;</div><ul><li>Demonstrated ability to act as an AI evangelist—guiding non-technical teams, influencing adoption, and promoting best practices across the organization&nbsp;</li><li>Strong ability to quantify impact, including cost savings, ROI, and prioritization of high-value use cases&nbsp;</li><li>Experience partnering with business stakeholders and translating technical concepts into clear, actionable items and insights&nbsp;</li><li>Strong hands-on experience building and deploying machine learning models end-to-end in production environments&nbsp;</li><li>Proven ability to perform exploratory data analysis and select appropriate algorithms based on business outcomes and data characteristics&nbsp;</li><li>Hands-on experience with AWS (especially SageMaker) for model development, deployment, and orchestration&nbsp;</li><li>Experience working with modern data platforms such as Snowflake and enterprise data warehouses&nbsp;</li><li>Ability to consolidate and operationalize multiple siloed use cases into standardized, scalable solutions&nbsp;</li><li>Seven years Relevant experience working in the Data field&nbsp;</li></ul><div><br><strong>Why work here?</strong>&nbsp;</div><ul><li><strong>The mission:</strong> Join a team that is motivated to release children from poverty in Jesus’ name.&nbsp;</li><li><strong>Our benefits</strong>: Receive generous paid time off, 10% contribution to a 403(b) retirement fund on top of your salary, excellent healthcare coverage, free short-term professional counseling, and <strong>more</strong>.&nbsp;</li><li><strong>Spiritual growth:</strong> Participate in regular chapel services, prayer groups, and department devotionals.&nbsp;</li></ul>

Applied Data Scientist III

<div><strong>About Company</strong>&nbsp;</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.&nbsp;</div><div><br>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. &nbsp;</div><div><br><strong>Summary</strong>&nbsp;</div><div>To serve the members of Samaritan Ministries International (SMI) by designing, developing, and deploying cloud-based applications and solutions, following agile practices, using Amazon Web Services (AWS). This role involves leveraging AWS services to build scalable, secure, and cost-effective systems that meet business requirements. The AWS Software Engineer collaborates with cross-functional teams to implement cloud-native architectures, automate infrastructure, and optimize performance. &nbsp;</div><div><br><strong>Competencies</strong>&nbsp;</div><ul><li>Creativity and Innovation</li><li>Fostering Communication</li><li>Attention to Detail</li><li>Acting with Integrity, Empathy, and Compassion</li><li>Collaborating with Others</li><li>Neighbor Focus</li><li>Pursuing Excellence</li><li>Problem Solving</li><li>Application Development and Maintenance</li><li>Quality Focus</li></ul><div><br><strong>Key Responsibilities</strong></div><ul><li>Build and maintain cloud-native applications using AWS services like Lambda, EC2, S3, DynamoDB, and API Gateway</li><li>Use AWS CloudFormation or Terraform to automate infrastructure provisioning and maintain version-controlled templates</li><li>Implement CI/CD pipelines for both legacy and cloud-native applications potentially using AWS CodePipeline, CodeBuild, CodeDeploy, and existing deployment tools including GitLab</li><li>Ensure applications are scalable, secure, and cost-efficient through auto-scaling, load balancing, and caching strategies</li><li>Implement IAM roles and policies, encryption, and secure access following compliance standards</li><li>Connect applications with AWS services for storage, compute, messaging, and analytics using API integrations and microservices architecture</li><li>Mentor team members on AWS services and cloud-native development patterns; document practices and lead knowledge transfer sessions</li><li>Diagnose and resolve issues in both legacy systems and AWS environments using CloudWatch, X-Ray, Splunk and other monitoring tools</li><li>Collaborate with Developers, Data, Security and other IT teams to define SMI's AWS architecture standards</li><li>Communicate technical solutions effectively to both technical and non-technical stakeholders</li><li>Maintain and enhance existing applications built on .NET Framework 4.8, .NET 9, React, CoffeeScript, and Backbone</li></ul><div><br><strong>Qualifications and Experience</strong></div><ul><li>Four-year degree from an accredited university or the equivalent combination of education and experience</li><li>2–5 years of professional software development experience with .NET (C#) and modern web frameworks</li><li>Demonstrated AWS experience (professional or significant personal projects) with services like Lambda, S3, EC2, RDS, DynamoDB, and API Gateway</li><li>Experience with Infrastructure as Code (IaC) tools like CloudFormation or Terraform</li><li>Programming proficiency in C#</li><li>Experience with React; willingness to work with legacy technologies including CoffeeScript and Backbone</li><li>Familiarity with DevOps practices, CI/CD pipelines (GitLab), containerization (Docker / Kubernetes), and monitoring tools</li><li>Knowledge of security best practices in both cloud and traditional environments</li><li><strong>Preferred:</strong> AWS Certified Developer – Associate or AWS Certified Solutions Architect – Associate</li><li>Professional level AWS Certification is a plus</li></ul><div><br></div><h3>Knowledge</h3><ul><li>AWS services including EC2, S3, Lambda, RDS, DynamoDB, API Gateway, VPC, and IAM</li><li>Cloud architecture principles for scalability, high availability, and cost optimization</li><li>Infrastructure as Code tools like CloudFormation or Terraform</li><li>Security best practices and compliance standards for cloud environments</li><li>Networking fundamentals like DNS, Routing, and load balancing</li><li>CI/CD processes and DevOps tools including AWS CodePipeline, CodeBuild, and CodeDeploy</li><li>Snowflake</li><li>.NET Framework 4.8, .NET 9, and C# object-oriented programming</li><li>React and willingness to maintain CoffeeScript and Backbone legacy code</li><li>SQL Server and relational database design</li></ul><div><br></div><h3>Skills</h3><div>&nbsp;</div><ul><li>Develop and deploy cloud-native applications</li><li>Automate infrastructure and deployment processes</li><li>Mentor and transfer knowledge effectively to team members</li><li>Proficiency in C#</li></ul><div><br></div><h3>Abilities</h3><div>&nbsp;</div><ul><li>Work with containers and orchestration tools like Docker and ECS/EKS</li><li>Optimize cost and resource usage in cloud environments</li><li>Troubleshoot performance and connectivity issues across diverse technology stacks</li><li>Use source code control tooling such as Git</li><li>Solve complex technical problems and adapt to new technologies quickly</li><li>Balance priorities between maintaining legacy systems and building new cloud capabilities</li><li>Apply clean code principles in delivering software</li><li>Collaborate effectively with cross-functional teams</li><li>Communicate technical concepts clearly to technical and non-technical audiences</li><li>Design solutions that meet both ministry and technical requirements</li></ul><div><br>&nbsp;<br><strong>Additional Information</strong><br>&nbsp;</div><ul><li>Staff may be required to travel and have a valid driver's license</li><li>Staff will observe safety principles while performing the duties of the position</li><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>May need to lift and move items up to 35 lbs on occasion</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></ul><div><br>&nbsp;<br><strong>Compensation</strong><br> <br><strong>Pay Range:</strong> $87,900 – $135,300<br> <br>Starting pay usually falls within the lower half of the pay range and is determined by experience, skills, and education.<br> <br> <br><strong>Benefits</strong><br>&nbsp;</div><ul><li>Performance-based incentive pay</li><li>SMI Membership with monthly healthcare bonus</li><li>Health Insurance: MEC plan with employer HSA contribution</li><li>401K Retirement plan with employer contribution</li><li>Life Insurance</li><li>Short-term disability</li><li>Dependent Care Flexible Spending Account</li><li><strong>Time Off:</strong> 9 company paid holidays, 5 missions days accrued annually, maternity and paternity leave, FMLA, Bereavement, and weekly accrued PTO (40 hours to use after 30 days + 80 hours accrued for 48 weeks)</li><li>Health club or home workout benefits for participating staff</li><li>Formal staff development and leadership training</li><li>Spiritual support and counseling through our staff support office</li><li>Repeatedly certified as a Best Christian Workplace</li></ul>

AWS Software Engineer

<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><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><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>The Role<br></strong><br></div><div>The Data Analyst will be a pivotal member of the Analytics Center of Excellence (ACoE), driving a culture of self-service analytics across the organization. This role involves creating compelling visualizations, designing scalable reporting templates, and training departmental teams to develop and maintain their own reports. The ideal candidate is both highly technical and creative, capable of translating complex data into actionable insights while serving as a mentor and resource for other teams. This person will lead by example, empowering departments with the skills and tools needed to independently harness data for decision-making.<br><br></div><div>The Data Analyst will not only deliver critical insights to drive organizational success but also elevate the analytics capabilities of every department through education and mentorship. By empowering teams with the tools and skills needed for self-service reporting, this role will help build a data-driven culture that ensures the organization thrives in a competitive and dynamic environment.<br><br></div><ul><li><strong>Data Analysis &amp; Insights</strong>:<ul><li>Analyze large datasets to uncover trends, correlations, and actionable insights that support business objectives.</li><li>Use statistical techniques to identify patterns in user behavior, donor contributions, and operational performance.</li><li>Collaborate with stakeholders to answer critical business questions, ensuring analyses align with organizational goals.</li></ul></li><li><strong>Report and Dashboard Development</strong>:<ul><li>Create visually engaging and interactive dashboards using Tableau or Power BI to communicate key metrics such as MAUs, donation trends, and segmentation performance.</li><li>Design scalable reporting frameworks and templates that departments can adapt to their specific needs.</li><li>Regularly refresh and optimize reports to incorporate new business requirements or data sources.</li></ul></li><li><strong>Training and Enablement</strong>:<ul><li>Develop and deliver training programs for departmental teams on using analytics tools, building reports, and interpreting data effectively.</li><li>Serve as a mentor, providing hands-on guidance and sharing best practices to enhance analytical capabilities across the organization.</li><li>Create and maintain documentation, tutorials, and FAQs to support ongoing education efforts.</li></ul></li><li><strong>Data Governance and Quality</strong>:<ul><li>Partner with the Data Architect and Governance Lead to ensure all reports adhere to data quality and governance standards.</li><li>Implement data validation checks within reports to flag inconsistencies or anomalies.</li><li>Advocate for a “single source of truth” approach, ensuring all analyses are based on consistent, validated data.</li></ul></li><li><strong>Collaboration and Creativity</strong>:<ul><li>Collaborate with cross-functional teams, including marketing, product, and operations, to understand their data needs and create tailored solutions.</li><li>Brainstorm innovative ways to visualize and present data that go beyond standard charts and graphs.</li><li>Foster a culture of curiosity and exploration, encouraging teams to leverage analytics to ask better questions and find smarter answers.</li></ul></li><li><strong>Tool Optimization and Technical Support</strong>:<ul><li>Serve as the internal expert on Tableau, Power BI, and other analytics tools, recommending optimizations and new features.</li><li>Troubleshoot technical issues in dashboards or reports, ensuring continuous accessibility and usability.</li><li>Stay current on emerging analytics technologies and methodologies, bringing innovative solutions to the organization.</li></ul></li><li><strong>Analytics Strategy Contribution</strong>:<ul><li>Work closely with leadership to refine the Analytics Center of Excellence’s strategy and goals.</li><li>Contribute to the development of organization-wide KPIs and metrics, ensuring alignment with strategic priorities.</li><li>Advocate for data literacy initiatives to embed analytics into the organization’s culture.</li></ul></li></ul><div><br><strong>Qualifications</strong></div><ul><li>3-5 years of experience in data analysis, business intelligence, or a similar role, with a focus on enabling self-service analytics.</li><li>Bachelor’s degree in Data Analytics, Statistics, Computer Science, or a related field preferred.</li><li><strong>Technical Expertise</strong>:<ul><li>Proficient in Tableau, Power BI, or similar visualization tools, with a strong portfolio of interactive dashboards.</li><li>Advanced SQL skills for querying and transforming data.</li><li>Experience with data platforms such as Snowflake or BigQuery, with an understanding of data warehouse principles.</li></ul></li><li><strong>Teaching and Mentorship</strong>:<ul><li>Demonstrated experience in training non-technical users to become proficient in analytics tools.</li><li>Strong ability to simplify complex technical concepts for a general audience.</li><li>Passion for sharing knowledge and fostering skill development in others.</li></ul></li><li><strong>Creativity and Design</strong>:<ul><li>A keen eye for visualization design, ensuring reports are both informative and aesthetically pleasing.</li><li>Ability to think outside the box to deliver creative solutions to business problems.</li></ul></li><li><strong>Data Governance and Quality</strong>:<ul><li>Familiarity with data governance best practices, including validation, access controls, and metadata management.</li><li>Strong attention to detail to ensure data accuracy in reports and dashboards.</li></ul></li><li><strong>Communication and Collaboration</strong>:<ul><li>Exceptional interpersonal skills to engage with stakeholders across departments.</li><li>Ability to act as a bridge between technical and non-technical teams, ensuring alignment on objectives and deliverables.</li></ul></li><li><strong>Soft Skills</strong>:<ul><li>Self-motivated, curious, and eager to learn about the organization’s challenges and goals.</li><li>Strong problem-solving skills, with the ability to adapt to changing priorities and requirements.</li><li>A team player who thrives in a collaborative environment and enjoys empowering others.</li></ul></li><li>Experience working remotely.</li><li>Prior consulting experience preferred.</li></ul><div><br>At Servant, we believe in the power of diversity and inclusion. We are an equal opportunity employer and encourage individuals from all backgrounds to apply.</div><div><br><strong>The Company<br></strong><br></div><div>At Servant Digital, we specialize in empowering leaders and organizations within faith communities through innovative digital transformation and change management solutions. We are committed to providing tailored strategies that align with our clients' values and missions, focusing on service, integrity, and excellence. Our team is passionate about making a meaningful impact by equipping our partners with the tools and technologies they need to thrive in a rapidly evolving digital landscape. Join us in our mission to support those who support others.</div>

Data Analyst - Contract

<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>Uses technical and leadership skills to manage the data science team to help release children from poverty in Jesus' name. Provides vision, strategy, and tactical oversight to the Artificial Intelligence Center of Excellence (AI CoE) to deliver high-impact AI enablement through delivery of AI solutions, platforms, and standards.</div><div><br>The primary purpose of this position is to provide full, daily management for assigned professional staff. This responsibility includes hiring, discipline, and termination, as well as, coaching, performance management, assigning, checking, and approving work to satisfy department objectives.</div><div><br>This leader helps to shape the strategic vision for citizen Data Science enablement within the organization, ensuring that Compassion teams are equipped with the skills and knowledge needed to harness AI easily and safely. This leader will partner with peers to create and execute a compelling AI enablement roadmap inclusive of all levels of AI maturity and foster a culture of ethical AI and continuous learning with a high bias towards ministry impact and return on investment. The incumbent will ensure accomplishment of department responsibilities based on oversight from senior management, following established practices, organizational strategy, department guidelines, and within approved budget.</div><div><br><strong>What will you do?</strong></div><ul><li>Maintains a personal relationship with Jesus Christ. Is a consistent witness for Jesus Christ, maintains a courteous, Christ-like attitude in dealing with people within and outside of Compassion, and faithfully upholds Compassion’s ministry in prayer.</li><li>Acts as an advocate to raise the awareness of the needs of children. Understands Christ’s mandate to protect children. Commits to and prioritizes child protection considerations in all decision-making, tasks and activities across the ministry. Abides by all behavioral expectations in Compassion’s Statement of Commitment to Child Protection and Code of Conduct. Reports any concerns of abuse, neglect or exploitation of children through Compassion’s internal reporting process and appropriately supports responses to incidents if they occur.</li><li>Provides technical leadership and development to direct reports.&nbsp; Works with staff to foster an environment of professional growth, in alignment with compassion’s strategies and objectives.&nbsp; Consult with peer management and senior leaders to successfully align departmental resources and priorities across Compassion.</li><li>Contributes to or prepares and administers the annual budget and departmental expenses, ensuring accountability for on-time completion of deliverables based on department objectives, SLAs, and other Compassion standards, ensuring compliance with regulatory and board policies.</li><li>Selects, manages and develops assigned staff, establishing goals and objectives, coaching and managing performance, including discipline, motivation, and annual reviews; supports continuous learning and development that enhances individual performance and organizational capability. Eliminate roadblocks to delivery, expand the team's relationships with external neighbours, and keep abreast of trending AI techniques.</li><li>Partners with peers and senior leaders and directs assigned staff to create and execute a compelling enablement roadmap to mature and foster a culture of ethical AI and continuous learning with a high bias towards ministry impacts and return on investment.</li><li>Leads subordinate professionals and the AI CoE to deliver high-impact AI enablement and AI solutions and platforms--including exploratory data analysis, visualization, analytics, data science, artificial intelligence, machine learning and robotic process automation. Establishes and manages partnerships with vendors to manage maintenance of data modeling tools.</li><li>Oversees collaborative decision-making process to consider ethical and data-privacy risk factors involved in proposed projects to determine appropriate mitigations and constraints on usages or development.</li><li>Contributes to the strategic vision for citizen Data Science enablement at Compassion, ensuring that our teams are equipped with the skills and knowledge needed to harness artificial intelligence easily and safely. Provides vision, strategy, and tactical oversight to the Artificial Intelligence Center of Excellence (AI CoE).</li></ul><div><br><strong>What do you bring?</strong></div><ul><li>AWS Certifications in AI/ML, data science, or data-engineering related fields a plus</li><li>Experience working with data eventing/streaming (Pulsar/Kafka) a plus</li><li>Hands-on Experience with AWS SageMaker a plus</li><li>Hands-on Experience with DataRobot or similar low-code AI platform a plus</li><li>Hands-on Experience with Snowflake Data Warehouse a plus</li><li>Hands-on Experience with Salesforce Marketing Cloud a plus</li><li>Experience with "data fabric" architectural patterns a plus</li></ul><div><br><strong>Why work here?</strong></div><ul><li>The mission: Join a team that is motivated to release children from poverty in Jesus’ name.</li><li>Our benefits: Receive generous paid time off, 10% contribution to a 403(b) retirement fund on top of your salary, excellent healthcare coverage, free short-term professional counseling, and more.</li><li>Spiritual growth: Participate in regular chapel services, prayer groups, and department devotionals.</li></ul>

Manager of AI

<div><strong>Description</strong></div><div>Christianity Today (CT) is looking for a Data Analyst to play a central role in CT’s Business Operations team. In this role, you will work closely with CT’s Data Architect and the VP of Marketing Operations to explore data and deliver insights to drive better business decisions and ROI across the organization, manage our various databases, automate reporting and work processes, and help integrate and connect various platforms in our tech stack.</div><div><br></div><div>By effectively managing data and delivering insights, you will assist in creating a better experience for visitors and CT members around the world, and your efforts will make an immediate difference through CT’s growing Kingdom impact.</div><div><br></div><div><strong>Job Functions and Responsibilities</strong></div><ul><li><strong>Reporting and Presentation:</strong> Work closely with various teams, including marketing, finance, and editorial, to share the latest insights through comprehensive reports and presentations.</li><li><strong>Visualization and Dashboarding:</strong> Create and update charts and dashboards to visualize data effectively, ensuring stakeholders have easy access to critical information.</li><li><strong>KPI Monitoring: </strong>Define and monitor business KPIs to evaluate trends and detect abnormalities, providing actionable insights for decision-makers.&nbsp;</li><li><strong>Data Preparation &amp; Cleaning: </strong>Prepare and clean data according to the needs of various teams and projects, ensuring accuracy and usability.&nbsp;</li><li><strong>Ad Hoc Analysis: </strong>Conduct ad hoc analyses to address specific business questions and provide timely insights for decision-making.&nbsp;</li><li><strong>Data Accuracy: </strong>Ensure the accuracy of data by implementing quality control processes and regular audits to maintain data integrity.&nbsp;</li><li><strong>Collaboration:</strong> Assist other data professionals to enhance data workflows and optimize analytical processes.&nbsp;</li><li><strong>Education:</strong> Promote data literacy within the organization by educating staff on data-related best practices and tools, fostering a data-driven culture.&nbsp;</li><li>Perform additional job-related duties as assigned.</li></ul><div><br><strong>Requirements</strong></div><ul><li>Minimum of 2 years: relational databases and SQL. Knowledge of Snowflake is a plus.</li><li>Minimum of 1 year: data visualization tools (Tableau, Power BI, matplotlib, ggplot2, etc.)</li><li>Degree in computer science, information systems, statistics, mathematics, or other relevant technical field, or equivalent practical experience</li><li>Advanced proficiency in Excel required</li><li>Research or work experience with Python, R, or Julia preferred.</li><li>It would be a plus if you possess experience and familiarity with any of the following platforms: ActiveCampaign, BigCommerce, Blackbaud, Drift, Google Ads, Google Analytics, Google Tag Manager, Hubspot, Megaphone, Piano, Sage Intacct, Shopify, Squarespace, Stripe, Substack, WordPress, Zapier, Zendesk&nbsp;</li><li>Ability to present data and insights clearly, both in technical details and in layman's terms&nbsp;</li><li>Demonstrates ability to communicate effectively (verbal and written)&nbsp;</li><li>Strong data manipulation, analysis, and visualization skills&nbsp;</li><li>Ability to work in a team and independently.</li></ul><div><br></div><div><strong>Essential Traits</strong></div><ul><li>Spiritual Maturity – You strive to represent Christ in all you do, aiming to give God the glory for every success and relying on Him to overcome challenges.&nbsp;</li><li>Critical Thinking – You can find and synthesize information, apply logic to problems, and quickly analyze to provide a recommended course of action.&nbsp;</li><li>Curiosity – You have an innate desire to learn and understand systems and ask thoughtful questions, taking initiative to develop areas of expertise and knowledge.&nbsp;</li><li>Detail-Oriented – You have a natural attention-to-detail and always double-check and verify your work.&nbsp;</li><li>Organization – You are structured and thoughtful in prioritizing projects and carrying them onto completion.&nbsp;</li><li>Self-Motivated – You have a consistent drive to initiate and drive projects to completion with minimal guidance.&nbsp;</li><li>Technically-Minded – You are a technologist who loves to dig deep to understand, learn, and master new skills, and love when there is a problem to solve.</li></ul><div>&nbsp;</div><div><strong>Additional Information</strong>&nbsp;</div><div><br></div><div><strong>Benefits</strong></div><ul><li>Christianity Today offers a comprehensive benefits package. Check out our <a href="https://www.christianitytoday.org/careers/">careers page</a> to learn more!</li></ul><div><br><strong>Employment Details</strong></div><ul><li>CT's headquarters are located in Illinois.&nbsp;</li><li>This is a fully remote position.</li><li>This full time position has a workweek of 37.50 hours per week.</li><li>This is a salaried position with an Exempt FLSA status.&nbsp;</li></ul><div><br><em>Exact compensation may vary based on experience, skills, and location.</em></div><div><strong>Salary Description</strong></div><div>Annual Salary Range: $60,000 - $65,000</div>

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