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Privia Health

Physician groups optimized for value-based payments

Senior Analytics Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Healthcare Analytics, Data Science, Computer Science, Health Informatics, Information Systems, or a related quantitative field is preferred, or equivalent practical experience.
  • At least 3 years of professional experience in Healthcare Analytics, Analytics Engineering, or Business Intelligence within a provider group, health system, payer, or healthcare technology environment.
  • Strong domain experience working with payer claims data, including medical, pharmacy, eligibility, and attribution data, and EMR/clinical data such as Athenahealth, Epic, or Cerner.
  • Expert-level ability to write complex SQL queries using multi-table joins, common table expressions, window functions, query optimization, and data transformation routines.
  • Exposure to modern analytics engineering workflows and tools, such as dbt, Python/Pandas, Git/version control, cloud data warehouses such as Snowflake, Microsoft SQL Server, or BigQuery, and Excel.
  • Familiarity with healthcare operational metrics and Value-Based Care concepts, including risk scores/HCC, quality metrics, and shared savings calculations.
  • Ability to balance structured long-term engineering projects with rapid ad-hoc query requests in an agile environment.
  • Ability to explain technical data modeling concepts to operational and clinical stakeholders.

Responsibilities

  • 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 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 operational, clinical, and financial questions across business units.
  • Define and standardize core business metrics across practice operations, provider utilization, clinical quality measures, and Value-Based Care performance tracking.
  • Partner with IT, Operations, Clinical Support, and Payer Relations stakeholders to gather requirements, translate operational needs into technical logic, and iterate in an agile environment.
  • Conduct automated data validation, quality assurance testing, and performance tuning on data warehouse queries and transformation jobs to maintain data integrity.
  • Serve as an internal subject matter expert on data structures, clinical workflows, and payer data layouts, and assist non-technical teams in interpreting underlying data accurately.
  • Document data models, logic definitions, and data flow pipelines, and collaborate with BI teams to ensure transparency and consistency across the enterprise analytics landscape.

About the Company

Privia Health

Physician groups optimized for value-based payments

Privia Health is a national physician organization that aligns reimbursements with quality and outcomes to transform the healthcare delivery experience for providers and consumers. It partners with health plans, health systems, and employers to cut unnecessary costs, improve outcomes, and boost patient health. The company runs a platform built on physician leadership development, scalable systems, and proprietary technology to organize and scale physician groups into high-performance networks, reducing administrative burdens and giving doctors autonomy while supporting growth. Its approach centers on capital-efficient physician alignment models that enable expansion and closer coordination among providers, payers, and employers. By focusing on outcomes and efficiency rather than volume, Privia Health aims to lower costs, improve care quality, and empower clinicians.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Arlington County, VA
Founded
2007

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