Privia Health
Data Engineer
Vaga remota de Data Engineering com fit claro de localização do candidato.
Publicada14 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Data Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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.
Primary Job Duties
- 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
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