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Life.Church Logo Life.Church · IT - Software Development

Senior Data Engineer

United States, Edmond · Job Posted May 31, 2026
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Job Description

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data. This role is critical in leading to increased engagement and growth through the Bible App globally.

Job Responsibility

  • 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

Requirements

  • 5+ years of data or software engineering experience building production-grade data systems
  • Bachelor's degree in Computer Science, Data, or a related field
  • Strong proficiency in SQL
  • Experience with Python, Go, Java, or similar general-purpose languages
  • Hands-on experience with warehouse design and modeling (e.g., BigQuery, Postgres, SQL Server, DBT)
  • Experience with Airflow, Pub/Sub, Fivetran, streaming platforms, or similar tools
  • Experience building data systems on GCP or comparable cloud environments
  • Experience integrating batch and real-time data sources
  • Experience preparing datasets for predictive, prescriptive, or classification models
  • Understanding of feature engineering concepts and data requirements for ML workflows
  • Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG)
  • Ability to support data flows for model training, evaluation, and inference
  • Comfortable collaborating with ML engineers, data scientists, or platform teams on ML-enabled features

Nice to have

  • Advanced certification
  • Experience with GitLab, Jira, Amplitude, Backstage, or Notion

What we offer

  • Paid parental leave, including maternity, paternity, and adoption leave
  • Generous employer-paid leave for vacation, sick time, and other qualifying reasons
  • Innovative and comprehensive Medical, Dental, and Vision insurance
  • Life insurance policy at 2x annual salary at no cost
  • Short-Term and Long-Term disability covered at 100% for full-time qualified staff members
  • Comprehensive wellness and mental health benefits
  • Generous 401(k) retirement plan with up to 12.5% contribution in first year
  • $160 annually in development dollars for professional growth
  • Casual dress and work environment
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