Data Engineer
Nava Benefits · Remote · Remote ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Python + SQL
- Dagster + dbt
- Healthcare tech
- Senior level
You will own the end-to-end ingestion of external data, including eligibility files, carrier feeds, and claims. Your work ensures data hygiene and quality, enabling Nava's AI features to help employees navigate healthcare benefits and employers optimize plan renewals.
What you'll do
- Ingest external data sources and normalize them to canonical domain models
- Unify census platform processes under consistent mapping and validation practices
- Scale pipeline efficiency to handle forty times the current data volume
- Build observability tooling and TypeScript web apps for automation
- Ensure secure handling of sensitive health information and SSNs
- Implement alerts for failures and data-quality regressions
What you'll need
- Hands-on ownership of production data pipelines with messy external sources
- Deep proficiency in Python and SQL without relying solely on AI assistants
- Experience with orchestrators like Dagster, Airflow, or Prefect in production
- Strong habits in reconciliation, data-quality gates, and testing
- Comfortable using AI-assisted development tools in daily workflow
- Ability to communicate clearly with non-technical stakeholders
Nice to have
- Experience with dbt
- Familiarity with Dagster specifically
Stack
- Dagster
- dbt
- Python
- Postgres
- AWS
- TypeScript
- Airbyte
- Parabola
- Salesforce
How you'll work
- Remote-first company culture
- Autonomy to thrive in a collaborative team
What you get
- Real ownership on a concentrated data team
- Direct line to engineers and leaders making product decisions
- Work that visibly unlocks AI features and improves member experience
Hiring process
- 15-minute introduction with recruiter
- 15-minute AI conversation about past pipeline experience
- 60-minute hands-on session with real data pipeline using AI tools
- 60-minute design conversation and accomplishment discussion