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
Source: Himalayas
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
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Sign in to startWhy 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.
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