Analytics Engineer (Senior)
Sprinter Health4 months ago
Base Salary
$165k - $215k/yr
Responsibilities
- Build canonical data models that provide a shared source of truth across the company.
- Define and maintain business, operational, financial, product, and customer-facing metrics.
- Model data using dbt or equivalent transformation tooling for dashboards, self-serve analytics, and customer reports.
- Create tests, documentation, data quality checks, clear field definitions, and lineage for reusable data assets.
- Reconcile metric definitions across internal teams, external reporting needs, and payer customers.
- Debug dashboards, reports, tables, metric discrepancies, and unexpected data changes.
- Partner with analysts, data scientists, operations, finance, product, engineering, and customer-facing teams.
- Build reusable reporting frameworks to make new payer onboarding faster and less manual.
- Partner with the data platform team to evolve warehouse tables, data architecture, and data contracts.
- Improve warehouse performance, cost, query efficiency, and maintainability.
- Support PHI-aware data access patterns and responsible use of sensitive healthcare data.
Requirements
- Experience building analytics engineering, business intelligence, or data modeling systems in a production cloud warehouse.
- Expert SQL skills and experience designing data models for reporting, analysis, and decision-making.
- Experience with dbt or an equivalent transformation framework.
- Experience building tested, documented, reusable data models rather than one-off queries.
- Experience defining, maintaining, or reconciling business-critical metrics across teams.
- Experience partnering with technical and non-technical stakeholders, including analysts, data scientists, operations, finance, product, or customer-facing teams.
- Experience debugging data quality issues, dashboard changes, metric discrepancies, and lineage problems.
- Experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, Databricks SQL, or similar.
- Ability to balance speed, correctness, usability, and maintainability when building data assets.
- Preferred experience with healthcare, claims, EHR, payer, provider, PHI, HIPAA-aware, or other regulated data.
- Preferred experience with customer-facing reporting, embedded analytics, multi-tenant data models, row-level security, access controls, or governed self-serve analytics.
- Preferred experience using Python for analysis, scripting, data validation, or automation.
- Preferred experience establishing semantic or metrics layers, improving warehouse performance and cost, or working in high-growth and operationally complex environments.
Benefits
- Meaningful pre-IPO equity.
- Medical, dental, and vision plans fully paid for employees and dependents.
- Flexible paid time off and 10 paid holidays per year.
- 401(k) with match.
- 16 weeks of parental leave for birthing parents and 8 weeks for all other parents.
- HSA and FSA contributions.
- Life insurance and short- and long-term disability coverage.
- Free daily lunch in the office.
- Annual learning stipend.
- Relocation assistance.
- Hybrid Bay Area schedule with office work Monday through Thursday and work-from-anywhere Fridays.
- Interview process typically completed within 2–3 weeks.
About Sprinter Health
Sprinter Health provides in-home clinical services—phlebotomy, diagnostics, and preventive care—delivered by mobile clinicians supported by telehealth. It sells to health plans, providers, and other healthcare organizations that use its full-stack practice and software to close care gaps and reconnect patients to longitudinal care. Founded in 2021 and headquartered in San Francisco, the privately held company operates a mobile workforce and virtual clinicians to coordinate visits and transmit results.