Life in Mobile

Life in Mobile

Senior Data Engineer

Edmond, OK · Senior · Full-time

Sponsorship not specifiedDetected 162 days ago
PythonJavaGoCode ReviewGitSQLPostgreSQLBigQueryGCPCloud PlatformsMachine LearningAirflowdbtData AnalysisData EngineeringLLMsRAGA/B TestingJiraExcelUnityResearchLeadershipCollaboration

About the role

  • 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.
  • The Senior Data Engineer works across technical teams within the organization, including but not limited to Data Analytics, Software Engineering leaders, and Product teams.

Responsibilities

  • 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.
  • Support Model Readiness: Design data pipelines and schemas that support training, evaluation, and inference workflows in partnership with ML-focused engineers.
  • 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.
  • Strong Ownership: Ability to independently lead complex data projects from concept to production.

Requirements

  • 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.
  • 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.

Nice to have

  • Bachelor's degree in Computer Science, Data, or a related field (advanced certification a plus).
  • Experience with tools such as GitLab, Jira, Amplitude, Backstage, or Notion is a plus.
  • Tooling Familiarity: Experience with tools such as GitLab, Jira, Amplitude, Backstage, or Notion is a plus.

Skills

  • 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.
  • Pipelines & Orchestration: Experience with Airflow, Pub/Sub, Fivetran, streaming platforms, or similar tools.
  • 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.
  • Cross-Functional Partnership: Comfortable collaborating with ML engineers, data scientists, or platform teams on ML-enabled features.
  • What You Bring

Compensation

  • $160 annually in development dollars for team members to invest in their professional growth.

Benefits

  • Life insurance policy provided for all staff members at 2x annual salary at no cost.
  • Additional life insurance coverage is available to purchase.
  • 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.
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This listing is sourced directly from Life in Mobile's careers page and normalized into a canonical job model.