Sr. Analytics Engineer
Privia Health · United States · US
Clinical Data Science
Remote
physician
Pharmacist
Dentist
Demand82
Career growth78
Healthcare fit58
Remote potential68
Salary band
USD 102k – 120k
5-year outlook
Base pay is posted at $102,000–$120,000, and analytics engineering in healthcare tends to grow toward senior/lead data roles with meaningful upside as VBC and payer data work expands. Clinicians entering without a data track record should expect to start lower and build technical depth first.
Clinical license
Not required
Applicant reach
moderate
Seniority
senior
Employment type
full-time
Date found
2026-10-06
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Profession fit
- physician, Pharmacist, Dentist
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying if you are a clinician who already has strong SQL and analytics engineering experience, or a health informatics professional with payer and EMR data exposure. Clinicians without a real data portfolio will likely be screened out at the 3+ years requirement.
Who should apply
Physicians or nurses with health informatics or data science training, IMGs with prior computer science/analytics backgrounds, pharmacists with claims and quality measure experience, and healthcare graduates who have built SQL/dbt portfolios in provider, payer, or health-tech settings.
CV angle
Lead with any real SQL, data modeling, or BI project work, then reframe clinical experience as domain expertise: EMR data familiarity (Epic/Cerner/Athenahealth), quality measure reporting, VBC/HCC concepts, and translating clinical workflows into data requirements. Quantify stakeholder-facing analytics or reporting you delivered, and avoid overstating engineering depth you cannot demonstrate.
Skills to highlight
- Advanced SQL (CTEs, window functions, query optimization)
- Data modeling and semantic layer design
- Healthcare data domains (payer claims, EMR/clinical, eligibility/attribution)
- Value-Based Care metrics (HCC risk scores, quality measures, shared savings)
- dbt and modern analytics engineering workflows
- Python/Pandas for data transformation
- Data validation and QA testing
- Cross-functional stakeholder communication with clinical and operational teams
Role summary
A senior analytics engineering role at Privia Health focused on building production-ready data models and semantic layers from payer claims, EMR, and operational data to power enterprise reporting, VBC performance tracking, and self-service analytics for clinical and operational stakeholders.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.