Nava Benefits
Data Engineer
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Full-time
- Remote
- 5+ yrs exp
- Added 3 weeks ago
About this role
Nava is seeking a Data Engineer to own the ingestion and transformation of external health and benefits data. This role focuses on building robust, reliable pipelines to normalize data from various sources, ensuring its quality and accessibility for Nava's AI-powered platform and data-driven client interactions. You will play a pivotal role in scaling the platform while maintaining data integrity and driving impactful improvements to healthcare experiences.
What you'll do
- Own data ingestion pipelines end-to-end, ensuring data quality and error handling.
- Unify existing employee eligibility and elections data processes.
- Scale data pipelines to handle significant data volume increases.
- Implement clear and reviewable mapping and identity resolution logic.
- Build tooling for observability and automation of data pipelines.
- Maintain and monitor pipelines as production software, including backfills and security measures.
What they're looking for
- Python
- SQL
- Data Pipeline Orchestration (Dagster, Airflow, or Prefect)
- Postgres or comparable relational database
- Data Quality and Testing
- AI-assisted Development
- TypeScript
- AWS
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Nava Benefits
- Industry
- Technology & Software
Likely interview questions
- Describe a time you had to troubleshoot a failing data pipeline. What was your approach?
- Explain how you would design a data quality check to validate the accuracy of a new data source.