Sprinter Health combines technology and a full-stack medical practice to reimagine care at home. Backed by Accel, General Catalyst and a16z.
About the role
We’re looking for an Analytics Engineer to build the trusted data layer that analysts, data scientists, operations, finance, product, and our payer customers depend on. At Sprinter, data is central to how we operate, measure performance, serve patients, and support our health plan partners. This role will own the canonical models, metric definitions, transformation logic, documentation, and tests that make our data reliable and reusable across the company.
What they're looking for
- Built analytics engineering, business intelligence, or data modeling systems in a production cloud warehouse environment
- Written expert-level SQL and designed data models that support reporting, analysis, and decision-making
- Worked with dbt or an equivalent transformation framework
- Built tested, documented, reusable data models rather than one-off queries
- Defined, maintained, or reconciled business-critical metrics across teams
- Partnered with analysts, data scientists, operators, finance teams, product teams, or customer-facing stakeholders
More about this role
At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system, driving over $300B in avoidable costs every year.
By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators has raised over $125M from investors like a16z, General Catalyst, GV, and Accel and enjoys multi-year runway.
We’re looking for an Analytics Engineer to build the trusted data layer that analysts, data scientists, operations, finance, product, and our payer customers depend on.
At Sprinter, data is central to how we operate, measure performance, serve patients, and support our health plan partners. This role will own the canonical models, metric definitions, transformation logic, documentation, and...
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