Senior Data Engineer

What You'll Do

• Deliver Trusted Data: Build and maintain reliable data pipelines that provide accurate, actionable data for analytics, experimentation, and decision-making.
• Own Data Systems: Plan, implement, and operate ingestion, ETL/ELT, and integration workflows with a focus on quality, scalability, and resilience.
• Partner Cross-Functionally: Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is instrumented, collected, and usable.
• Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling, experimentation, and LLM-driven applications.
• Support Model Readiness: Design data pipelines and schemas that support training, evaluation, and inference workflows in partnership with ML-focused engineers.
• Advance Data Governance: Contribute to data governance, stewardship, privacy, and security best practices.
• Improve Observability: Build testing, monitoring, and alerting to ensure high data quality and early detection of issues.
• Optimize for Scale: Performance tune pipelines, queries, and storage for efficiency and stewardship.
• Document & Enable: Create clear documentation, diagrams, and data definitions to improve understanding across teams.
• Mentor Others: Lead and support junior and mid-level data engineers through code reviews, pairing, and guidance.
• Own Projects: Take responsibility for end-to-end delivery of data initiatives with minimal direction.
• Grow Continuously: Stay current on data engineering, ML, and LLM-related tools, patterns, and best practices.

What It Takes to Thrive Here

• Strong Ownership: Ability to independently lead complex data projects from concept to production.
• Problem-Solving Mindset: Comfortable navigating ambiguity and solving complex technical challenges.
• Collaboration Skills: Able to communicate clearly with both technical and non-technical partners.
• Quality Focus: Strong instincts around testing, monitoring, and data correctness.
• Learning Orientation: Curiosity and motivation to grow in ML- and LLM-adjacent data engineering practices.
• Mission Alignment: Desire to use your skills to serve others and advance God’s Kingdom.

Technical Areas You Excel In

• SQL: Strong proficiency writing complex queries and optimizing performance.
• Programming: Experience with Python, Go, Java, or similar general-purpose languages.
• Data Warehousing: Hands-on experience with warehouse design and modeling (e.g., BigQuery, Postgres, SQL Server, DBT).
• Pipelines & Orchestration: Experience with Airflow, Pub/Sub, Fivetran, streaming platforms, or similar tools.
• Cloud Platforms: Experience building data systems on GCP or comparable cloud environments.
• APIs & Streaming: Experience integrating batch and real-time data sources.
• ML Data Preparation: Experience preparing datasets for predictive, prescriptive, or classification models.
• Feature Readiness: Understanding of feature engineering concepts and data requirements for ML workflows.
• LLM Awareness: Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG).
• Pipeline Support: Ability to support data flows for model training, evaluation, and inference (without requiring deep model research).
• Cross-Functional Partnership: Comfortable collaborating with ML engineers, data scientists, or platform teams on ML-enabled features.

What You Bring

• Experience: 5+ years of data or software engineering experience building production-grade data systems.
• Education: Bachelor’s degree in Computer Science, Data, or a related field (advanced certification a plus).
• Technical Maturity: Proven ability to design, build, and operate reliable data pipelines.
• Leadership Growth: Experience mentoring others and contributing to team-level technical direction.
• Tooling Familiarity: Experience with tools such as GitLab, Jira, Amplitude, Backstage, or Notion is a plus.
• Passion for Impact: Excitement about building data systems that support insight, learning, and spiritual growth.

Benefits We Offer

• Paid parental leave, including maternity, paternity, and adoption leave.
• Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons.
• Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health.
• Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase.
• Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.
• Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.
• Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn’t stop there—the more years on staff, the greater the investment!
• $160 annually in development dollars for team members to invest in their professional growth.
• Casual dress and work environment.
• And much more!

Our Beliefs, Culture, and Commitment to Diversity