Senior Data Engineer

Privia Health is a technology-driven company focused on optimizing physician practices and improving patient experiences. The Senior Data Engineer will be responsible for building and scaling the enterprise data platform, managing data pipelines, and collaborating with stakeholders to deliver data solutions that align with business goals.

Responsibilities:

• Pipeline Engineering: Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines
• Stakeholder Collaboration: Partner directly with product owners, data analysts, and Analytics stakeholders to gather requirements, communicate technical roadmaps, and deliver data solutions aligned with business goals
• Architecture & Design: Play a key role in data modeling and architecture discussions to support high-volume, low-latency, and high-availability systems
• Technical Leadership: Act as a subject matter expert for the data layer; mentor junior engineers, advocate for code quality, and delegate project tasks effectively
• DevOps Culture: Champion a modern DevOps mindset by implementing CI/CD practices, automated testing, and robust monitoring/observability for data workflows
• SDLC Execution: Deliver clean, well-tested, and secure code within an Agile/Scrum framework (Jira), participating fully from discovery through to deployment
• Continuous Innovation: 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