Analytics Engineer (Senior)

The role

You will build the trusted data layer by owning canonical models, metric definitions, transformation logic, documentation, and tests. You will model data in dbt or equivalent tooling to support analysts, data scientists, and customers.

What you will do

• Build canonical data models that create a shared source of truth
• Define and maintain core business, operational, financial, product, and customer-facing metrics
• Model data in dbt or equivalent transformation tooling
• Write tests, documentation, and data quality checks
• Create clear definitions for tables, fields, and metrics
• Reconcile metric definitions across internal teams and external customers
• Trace data lineage and debug dashboards, reports, or tables
• Partner with various teams to understand data needs and translate them into models
• Help build reusable reporting frameworks
• Partner with the data platform team to evolve warehouse tables and improve architecture

Required qualifications

• Built analytics engineering, business intelligence, or data modeling systems in a production cloud warehouse environment
• Written expert-level SQL
• Designed data models that support reporting, analysis, and decision-making
• Worked with dbt or an equivalent transformation framework
• Built tested, documented, reusable data models
• Defined, maintained, or reconciled business-critical metrics across teams
• Partnered with analysts, data scientists, operators, finance teams, product teams, or customer-facing stakeholders
• Debugged data quality issues, dashboard changes, metric discrepancies, and lineage problems
• Worked with cloud data warehouses such as BigQuery, Snowflake, Redshift, Databricks SQL, or similar
• Communicated clearly with technical and non-technical stakeholders

Nice to have

• Experience with healthcare data, claims data, EHR data, payer data, provider data, or other complex healthcare datasets
• Worked with PHI, HIPAA-aware data access patterns, or other sensitive regulated data
• Experience building customer-facing reporting, embedded analytics, or multi-tenant data models
• Worked with row-level security, access controls, or governed self-serve analytics
• Experience using Python for analysis, scripting, data validation, or automation
• Helped establish a semantic layer, metrics layer, or company-wide source of truth
• Built data models in a high-growth startup or operationally complex environment
• Experience improving warehouse performance, cost, and query efficiency

Benefits

• Meaningful pre-IPO equity
• Medical, dental, and vision plans 100% paid for you and your dependents
• Flexible PTO
• 10 paid holidays per year
• 401(k) with match
• 16-week parental leave policy for birthing parent
• 8 weeks for all other parents
• HSA + FSA contributions
• Life insurance
• Short and long-term disability coverage
• Free daily lunch in-office
• Annual learning stipend

About the company

Sprinter Health reimagines how people access care by bringing it directly to their homes. The company has supported more than 2 million patients across 22 states and has raised over $125M from investors.