Senior Analytics Engineer
- Company
- Privia Health
- Location
- Remote, United States
- Salary
- 8 500–10 000 $/mo
- Posted
- 2026-10-06
Skills: Python, dbt, Snowflake, BigQuery, SQL, Pandas, Git, Agile
As Privia Health continues to expand, the Analytics team requires an agile and tech-savvy Healthcare Analytics Engineer to bridge the gap between complex raw healthcare data and strategic business operations. In this role, you will design, model, and maintain robust analytics infrastructure by combining advanced SQL practices, BI tooling, and analytics engineering principles. You will sit at the intersection of payer claims (medical, pharmacy, attribution), Electronic Medical Record (EMR/EHR) clinical data, and operational feeds, transforming disparate sources into clean, centralized analytical datasets. Operating in a fast-paced environment, you will empower operational teams, clinical leaders, and business stakeholders with trustworthy insights, rapid ad-hoc query support, and scalable data models that support broad healthcare initiatives—including Value-Based Care (VBC) performance, clinical workflow optimization, and enterprise reporting. Primary Job Duties Design, build, and maintain production-ready data models and semantic layers using advanced SQL and analytics engineering best practices to support enterprise reporting and self-service analytics. Ingest and blend diverse healthcare datasets—including payer claims, attribution rosters, quality measure extracts, EMR/clinical data, and operational logs. Execute fast-turnaround ad-hoc SQL queries and deep-dive analyses to answer pressing operational, clinical, and financial questions across various business units. Define…
Full text and application on the employer's site.