We are looking for a Data Engineer to join our Data Engineering team. You will design, build, and maintain the data pipelines and infrastructure that power clinical, financial, and operational reporting across Privia Health. This role works directly with healthcare data (payer attribution files, claims, eligibility, quality measures) and requires someone comfortable owning pipelines end-to-end in a production environment.
You will work primarily in Snowflake, dbt, and Python within an Agile team that ships weekly. We value engineers who write clean SQL, think critically about data quality, and communicate clearly with both technical and non-technical stakeholders.
Primary Job Duties
- Pipeline Development: Design, build, and maintain data pipelines that ingest, transform, and deliver healthcare data (payer files, claims, attribution, eligibility) through staging, transformation, and mart layers.
- Data Modeling and Transformation: Write and maintain dbt models following established conventions (staging/intermediate/marts pattern). Ensure transformations are testable, documented, and performant.
- Data Quality: Implement and maintain data validation tests, monitor pipeline health, investigate and resolve data anomalies, and ensure accuracy of downstream reporting.
- SQL Development: Write complex, optimized SQL for data transformation, analysis, and troubleshooting. This is the primary language of the role.
- Python Development: Build and maintain Python scripts for file processing, API integrations, custom ETL logic, and automation. Python is a required skill, not optional.
- Production Operations: Own the health of assigned pipelines in production. Monitor jobs, triage failures, coordinate with payers/vendors on file delivery issues, and maintain runbooks.
- Collaboration: Work with Analytics, Operations, and Clinical teams to translate business requirements into technical implementations. Communicate status, blockers, and tradeoffs clearly.
- SDLC Participation: Deliver work within an Agile/Scrum framework using Jira and GitLab. Participate in sprint planning, code review, QA testing, and production releases.
- Continuous Improvement: Identify opportunities to improve pipeline performance, reduce manual intervention, strengthen testing coverage, and eliminate technical debt.
- Other duties as assigned.
Remote, USA, United States Remote (Country) Full-time USD 77,000 – 90,000 / year