Privia Health is a technology-driven, national physician enablement company that collaborates with medical groups, health plans, and health systems. The Senior Data Engineer will play a pivotal role in building, modernizing, and scaling the enterprise data platform, influencing core data architecture and solving complex data challenges.
Responsibilities:
- Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines
- Partner directly with product owners, data analysts, and Analytics stakeholders to gather requirements, communicate technical roadmaps, and deliver data solutions aligned with business goals
- Play a key role in data modeling and architecture discussions to support high-volume, low-latency, and high-availability systems
- Act as a subject matter expert for the data layer; mentor junior engineers, advocate for code quality, and delegate project tasks effectively
- Champion a modern DevOps mindset by implementing CI/CD practices, automated testing, and robust monitoring/observability for data workflows
- Deliver clean, well-tested, and secure code within an Agile/Scrum framework (Jira), participating fully from discovery through to deployment
- Evaluate emerging data technologies and framework optimizations to continuously improve platform performance and cost-efficiency
- Responsible for end to end project ownership
- Follow established processes and be a champion for best practices and continuous improvement
- Deliver timely, well written, well designed, testable, efficient code
- Ensure designs and code are in compliance with specifications
- Perform other duties as assigned
Requirements:
- 5+ years of professional experience designing and implementing commercial data warehouses and data marts
- 4+ years of hands-on production experience with Snowflake (including performance tuning, Snowpipe, or secure data sharing)
- 3+ years of strong development experience in Python for data manipulation and pipeline orchestration
- 3+ years of strong experience with DBT or similar transformation tool
- Expert-level proficiency in advanced SQL (including complex joins, window functions, and query optimization)
- Experience integrating with external data sources via APIs and handling semi-structured data (JSON, Parquet)
- Solid understanding of relational databases (MSSQL/MySQL)
- Proven track record of shipping high-quality software backed by a strong belief in automated testing (unit, integration, and data quality testing)
- Experience working within an Agile SDLC environment
- Must comply with HIPAA rules and regulations
- Must be willing and able to communicate with the team via webcam, webconf, and phone
- Must have access to private, quiet work space with high-speed internet to effectively work remotely