Sprinter Health
Analytics Engineer (Senior)
$165K–$215K
San Francisco, CA +1 · Hybrid · Senior · Full-time · Posted Jul 20, 2026
- Location
- San Francisco, CA
Menlo Park, CA
About the job
Build and maintain trusted, reusable data models and metric definitions for internal teams and payer customers.
What you'll do
- Build canonical data models, reporting-ready tables, and reusable reporting frameworks.
- Define and reconcile business, operational, financial, product, and customer-facing metrics; document them and add tests and data quality checks.
- Trace data lineage, debug discrepancies, and improve warehouse architecture, performance, cost, and maintainability.
What they ask for
- Production experience building analytics engineering, business intelligence, or data modeling systems in a cloud warehouse.
- Expert-level SQL and experience designing data models for reporting and decision-making.
- Experience with dbt or an equivalent transformation framework, including tested, documented, reusable models.
- Experience defining or reconciling business-critical metrics and partnering with cross-functional stakeholders.
Nice to have
- Experience with healthcare datasets or sensitive regulated data, including PHI or HIPAA-aware access patterns.
- Experience with customer-facing reporting, multi-tenant models, governed self-serve analytics, Python, or warehouse optimization.
Pay
$165K – $215K (base salary)
Tools
SQL, dbt, BigQuery, Snowflake, Redshift, Databricks SQL, Python
Model-written summary · the original posting is authoritative