Privia Health

19 open remote positions

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 exceptional physician leadership, focusing on scalable operations and cloud-based technology to reduce healthcare costs and improve outcomes.

Salary Distribution 19 of 19 jobs

Benefits Overview 19 of 19 jobs

Dental (19) Medical (19) Vision (19) PTO (16) Pet Insurance (16) Life Insurance (14) 401(k) (11) 401K (8) Wellness Programs (7) Life (3) Annual Bonus (2) Life insurance (2) Paid Time Off (2) Pet insurance (2) Paid time off (1) Wellness programs (1)

Open Positions

$75,000–$85,000/yr

  • Partner with and launch providers into Privia Medical Group, providing project management, training, and support throughout implementation and go-live of physician practices on electronic medical record and practice management systems.
  • Set practices up for long-term success with cost savings and population health strategies, coordinating activity between the practice and other Privia teams.
  • Manage multiple projects at once, identify and assist with market-based and national projects to improve workflows and operations for care centers and internal teams.

$75,000–$85,000/yr

  • Collaborate with primary care providers to coordinate care for patients with multiple chronic conditions, ensuring high-quality care through telephonic and in-person outreach.
  • Conduct transitional care management including post-discharge follow-up and provide education on lifestyle coaching and dietary improvements.
  • Operate independently to achieve goals, attend regular care team meetings, and perform other duties as assigned.

$110,000–$130,000/yr

  • Design, build, and maintain high-performing Rails and JavaScript applications that power core application features.
  • Provide hands-on development of data models, data load pipelines, and SQL scripts in MySQL and Snowflake.
  • Integrate AI-assisted programming tools into daily development workflows to optimize SQL queries and accelerate application development.

  • Report to the VP, People Operations and deliver best practices and business-focused solutions for people-related initiatives across multiple departments.
  • Act as a strategic advisor on employee relations, performance management, development, retention, and conflict resolution.
  • Lead annual talent review and succession planning, driving organizational effectiveness and mitigating risk through labor law knowledge.

$84,000–$105,000/yr

  • Oversee end-to-end support of the Care Center Digital queue, managing contractors and establishing KPIs.
  • Act as senior escalation point for complex issues, partnering with IT and operational teams.
  • Serve as operational liaison for online scheduling rollout and support other digital projects like SEO.

$127,000–$150,000/yr

  • Leverage AI-assisted data quality practices including GenAI-based rule generation, intelligent anomaly detection, and automated triage of data quality issues.
  • Develop and automate data quality checks using SQL and Python in Snowflake, implementing validation and reconciliation across batch and streaming pipelines.
  • Build reusable data quality automation components and mentor team members on best practices and AI-driven frameworks.

Data Engineer

$77,000–$90,000/yr

  • Design, build, and maintain data pipelines that ingest and transform healthcare data through staging, transformation, and mart layers.
  • Write and maintain dbt models following established conventions, ensuring transformations are testable and performant.
  • Implement data quality tests, monitor pipeline health, and resolve data anomalies to ensure accuracy of downstream reporting.

Sr. AI Engineer

$150,000–$175,000/yr

  • Design and deploy AI/ML and Generative AI models to drive operational efficiencies across VBC and RCM datasets.
  • Implement advanced architectures including LLMs, RAG, and agentic frameworks, and build end-to-end pipelines using Python, PySpark, or T-SQL.
  • Apply MLOps best practices and work with cloud platforms like GCP to ensure scalable and responsible AI deployments.