<div>Pay: $99,000 annual minimum<br>Full Time<br>Location: Hybrid, Orlando, FL<br><br>Cru has a long-standing history of being a pioneer in world Christian Missions. We are looking for the most talented individuals with a passion to see the Gospel of Jesus Christ proclaimed to the nations.&nbsp; Come use your God-given talents to help do this!<br><br>Our teams at Cru Headquarters are committed to praying for and with each other. Your faith isn’t just something apart from who you are it’s an integral part of you.&nbsp; Here at Cru we want you to use your gifts to further the Kingdom each day.&nbsp; <br><br><strong>The Kind of Work You’ll be Doing: <br></strong>Are you a data engineer with a passion for optimizing data systems and driving innovation? We’re seeking a Senior Data Engineer to join our dynamic team and take the lead in designing, building, and maintaining powerful data pipelines that fuel the enterprise’s data-driven decision-making. This is your opportunity to shape the future of our data architecture, collaborate with cross-functional teams, and make a tangible impact on the organization’s success!</div><ul><li><strong>Craft High-Performance Data Models</strong>: Design and create dimensional data models, denormalize data from multiple sources, and optimize these models to ensure BI performance is top-tier, working closely with BI and data analysts.</li><li><strong>Map the Data Journey</strong>: Develop comprehensive cradle-to-grave process flowcharts, from data inputs and processes to outputs and architecture diagrams. You’ll define the entire data journey to ensure clarity and efficiency.</li><li><strong>Lead ETL/ELT Development: </strong>Design and implement ETL/ELT processes and queries to seamlessly integrate data from a variety of sources, including Oracle, Postgres, and MySQL, into our enterprise data warehouse (EDW).</li><li><strong>Create and Optimize Data Pipelines</strong>: Build end-to-end data pipelines to automate data ingestion, transformation, and loading processes. You’ll monitor performance, troubleshoot issues, and ensure scalability, reliability, and efficiency across all pipelines.</li><li><strong>Drive Data Orchestration</strong>: Design innovative solutions to orchestrate data flows, ensuring the smooth movement, combining, verification, and storage of data, making it ready for analysis and business insights.</li><li><strong>Manage High-Impact Projects:</strong> Operate at a senior level by leading data projects, reviewing team outputs, and keeping executives informed of progress. You’ll be the go-to leader for complex data challenges.</li><li><strong>Lead CI/CD Initiatives: </strong>Develop and implement best practices for Continuous Integration and Continuous Deployment (CI/CD) for data integrations, ensuring smooth, automated workflows.</li><li><strong>Code Review Leadership: </strong>Conduct thorough code reviews to identify issues, determine root causes, and propose the best solutions to enhance code quality and performance.</li><li><strong>Ensure Data Quality: </strong>Build and maintain automated unit and integration testing pipelines to guarantee the integrity and quality of data across all systems.</li><li><strong>Customer-Centric Problem Solving:</strong> Respond to service requests from customers, addressing inquiries or HelpDesk tickets with a solution-oriented approach to ensure smooth data operations.</li></ul><div><br><strong>Education and/or Experience:</strong></div><ul><li>A seasoned Data Engineer with extensive experience designing and optimizing data models, working with a variety of databases (Oracle, Postgres, MySQL), and leading ETL/ELT development.</li><li>Skilled in data pipeline orchestration and automation, with a proven ability to build scalable, reliable, and high-performance data workflows.</li><li>Hands-on experience with Google BigQuery or cloud-based data warehouses, as well as strong SQL skills.</li><li>Proven experience using dbt for data transformation, documentation, and modular modeling.</li><li>Expert in CI/CD practices and automated testing, ensuring seamless integration and continuous delivery of data solutions.</li><li>Comfortable leading cross-functional projects, collaborating with BI teams and data analysts, and presenting your work to senior executives.</li><li>A problem-solver who thrives in challenging environments and can quickly identify and resolve issues in complex data systems.</li><li>A strong communicator who enjoys mentoring others and fostering a collaborative, results-driven team culture.</li><li>Bachelor’s degree in Math, Statistics, Business, Computer Science, or Data Science.</li><li>5-7 years of Data Engineering experience preferred.&nbsp;</li></ul><div><br><strong>Why Join Us?</strong></div><ul><li><strong>Find your purpose:</strong> Join a Global Movement Impacting the World for Jesus.&nbsp;</li><li><strong>Comprehensive Compensation &amp; Benefits Package</strong> for full-time employees.</li><li><strong>Retirement Savings</strong>: 403B plan with matching contributions for qualifying salaried roles and lump sum contributions for hourly roles, helping you plan for your future.</li><li><strong>Paid Time Off &amp; Holiday Pay</strong> to support your work-life balance.</li><li><strong>Paid parental leave:</strong> 2 months for mothers and fathers</li><li><strong>Health Coverage:</strong> 98% paid Medical and Dental Insurance for employees, 50% paid for dependents.&nbsp;</li><li><strong>Life Insurance</strong>: Basic life insurance provided, plus the option to purchase Voluntary Term Life Insurance (VTL) for self and dependents.&nbsp;</li><li><strong>Spiritual Growth and Development Opportunities</strong>: Quarterly paid half-day with the Lord, team spiritual development.&nbsp;</li><li><strong>Meaningful Work</strong>: Make a lasting impact on the lives of those you serve, while working with a supportive and collaborative team.</li></ul><div>And additional perks!&nbsp;</div>

Senior Data Engineer

<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>

Data Architect

<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>

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