<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>

Data Engineer

<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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