Data Engineer

Summary

Privia Health is a technology-driven, national physician enablement company that collaborates with various healthcare entities. They are seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure for clinical, financial, and operational reporting.

Responsibilities

• Design, build, and maintain data pipelines that ingest, transform, and deliver healthcare data (payer files, claims, attribution, eligibility) through staging, transformation, and mart layers
• Write and maintain dbt models following established conventions (staging/intermediate/marts pattern). Ensure transformations are testable, documented, and performant
• Implement and maintain data validation tests, monitor pipeline health, investigate and resolve data anomalies, and ensure accuracy of downstream reporting
• Write complex, optimized SQL for data transformation, analysis, and troubleshooting. This is the primary language of the role
• Build and maintain Python scripts for file processing, API integrations, custom ETL logic, and automation. Python is a required skill, not optional
• Own the health of assigned pipelines in production. Monitor jobs, triage failures, coordinate with payers/vendors on file delivery issues, and maintain runbooks
• Work with Analytics, Operations, and Clinical teams to translate business requirements into technical implementations. Communicate status, blockers, and tradeoffs clearly
• Deliver work within an Agile/Scrum framework using Jira and GitLab. Participate in sprint planning, code review, QA testing, and production releases
• Identify opportunities to improve pipeline performance, reduce manual intervention, strengthen testing coverage, and eliminate technical debt
• Other duties as assigned

Skills

• 3+ years of experience as a Data Engineer, Analytics Engineer, or equivalent role
• 3+ years Strong SQL expertise - you can write complex queries, optimize performance, and troubleshoot data issues independently
• 2+ years Python experience - you can build production-grade scripts for file processing, API calls, and data manipulation
• 2+ years experience with dbt (data build tool) - writing models, tests, and macros
• 2+ years experience with Snowflake or equivalent cloud data warehouse (BigQuery, Redshift, Databricks)
• Understanding of data warehouse design patterns (star schema, slowly changing dimensions, staging/mart layers)
• Experience with ETL/ELT patterns and batch data processing
• Familiarity with version control (Git) and CI/CD practices
• Experience working with raw data sources: flat files (CSV, pipe-delimited), JSON, XML, Parquet

Qualifications

Must Haves

• 3+ years of experience as a Data Engineer, Analytics Engineer, or equivalent role
• 3+ years Strong SQL expertise - you can write complex queries, optimize performance, and troubleshoot data issues independently
• 2+ years Python experience - you can build production-grade scripts for file processing, API calls, and data manipulation
• 2+ years experience with dbt (data build tool) - writing models, tests, and macros
• 2+ years experience with Snowflake or equivalent cloud data warehouse (BigQuery, Redshift, Databricks)
• Understanding of data warehouse design patterns (star schema, slowly changing dimensions, staging/mart layers)
• Experience with ETL/ELT patterns and batch data processing
• Familiarity with version control (Git) and CI/CD practices
• Experience working with raw data sources: flat files (CSV, pipe-delimited), JSON, XML, Parquet

Benefits

• Medical, dental, vision, life, and pet insurance
• 401K
• Paid time off
• Other wellness programs
• Annual bonus targeted at 15%
• Eligible for expense reimbursement to offset the cost of acquiring/maintaining minimum remote internet speed (minimum 5 MBPS download speed and 3 MBPS upload speed)