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Key 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 and communicate technical roadmaps.
- Play a key role in data modeling and architecture discussions to support high-volume, low-latency systems.
Qualifications & Experience:
- 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 and Snowpipe.
- 3+ years of strong development experience in Python for data manipulation and pipeline orchestration.
Technical Environment & Culture:
- Modern stack powered by Snowflake and Python in a cloud-based GCP environment.
- Champion a DevOps mindset with CI/CD practices, automated testing, and robust monitoring.
- Work within an Agile/Scrum framework using Jira, collaborating across teams to deliver high-quality software.
Privia Health
Privia Health is a technology-driven, national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. The company is led by top industry talent and physician leadership, focusing on scalable operations and cloud-based technology to reduce healthcare costs and improve outcomes.