Senior Data Engineer

Privia Health is a technology-driven company focused on optimizing physician practices and improving patient experiences. They are seeking a Senior Data Engineer to build and modernize their enterprise data platform, with responsibilities including designing data pipelines, collaborating with stakeholders, and leading technical initiatives.

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