Senior/ Staff Data Engineer
About Sprinter Health
Sprinter Health is rethinking how healthcare gets delivered—bringing high-quality, preventive care directly into patients’ homes using smart logistics, real-time clinical ops, and deeply integrated technology.
Since launching in 2021, we've:
👥 Served 50,000+ patients
🚀 Grown 6x in 2024 (and 5x the year before)
🌍 Covered 60%+ of the U.S. population
🏥 Partnered with 6 of the top 10 largest U.S. health plans
🏦 Raised $70M+ from a16z, General Catalyst, GV, and Accel
Now we’re building out the core infrastructure that powers all of this—and data is right at the center.
The Role
We’re looking for a Senior Data Engineer to lead and shape Sprinter’s new Clinical Data Platform team. This is a ground-floor opportunity to build the systems that unify our clinical, operational, and logistics data—and make them usable across everything from AI to analytics to care coordination.
If you’re excited to architect systems that directly impact millions of patients—while wrangling gnarly healthcare data formats into something elegant—this is your role.
What You’ll Work On
We’re solving some deeply interesting problems at the intersection of data, healthcare, and operations:
🔍 Uncover care gaps and predict patient risk through structured longitudinal data
📝 Generate pre-visit clinical summaries via LLMs grounded in patient history
📊 Standardize engagement + visit data across diverse EHR and claims formats
🤖 Catch anomalies and errors in inbound medical data using automated validation
🏗️ Build a robust data warehouse from the ground up—supporting ML, reporting, and downstream systems
You’ll own key technical decisions and help build a small, senior team around you.
What We’re Looking For
Engineering & Data Systems
5+ Years of Data Analytics, Data Science or Data Engineering Experience
Strong experience with Python or TypeScript
Deep understanding of scalable data systems, ETL/ELT pipelines, and observability best practices
Hands-on with BigQuery, Airflow, DBT, or AWS Glue
Familiarity with varied database types (relational, document, columnar, key-value, vector, etc.)
Healthcare Data (bonus, but not required)
Claims data processing
Clinical data formats: FHIR, HL7, C-CDA, or EHR integrations
Tools like Mirth Connect or similar for data exchange
Leadership & Collaboration
Experience leading technical projects and shipping high-impact systems
Comfortable breaking down work and guiding teammates
Bonus: people management experience or interest in growing a team
Tech Stack
ETL/ELT: Airflow, AWS Glue
Data stores: BigQuery, DynamoDB, Elasticsearch, custom warehouses
Languages: Python, TypeScript, SQL
Integration: Mirth Connect, custom FHIR/HL7 tooling
The Perks (aka The Fun Stuff™)
🍽️ Free lunch every day + fully stocked kitchen + espresso bar
🏥 100% of family premiums covered for health, dental, vision
💸 401(k) matching
🏝️ Unlimited PTO + hybrid work (3 days/week in-office)
👶 4 months fully paid parental leave (2 months for partners)
✈️ Relocation assistance available
🎉 Team offsites, game nights, and design sprints
- Full-stack experience, backend-focused.
- Proficiency in Python or JavaScript/TypeScript (Preferred).
- Third-party data integration: Normalization, standardization, and harmonization of inbound data; outbound translation to customer-specific formats.
- Experience with BigQuery, DBT, Airflow, AWS Glue, or similar ETL/ELT tools.
- Scalable & high-performance data systems: Designing, building, and optimizing data architecture, queries, pipelines, and integrations.
- Observability: Monitoring & alerting best practices.
- Database expertise: Relational, key-value, columnar, document, vector, inverted index, and in-memory databases.
- Data warehouse schema design (Nice to have).
- Administrative: Claims processing OR
- Clinical: EHR data, FHIR, HL7, C-CDA standards.
- Technical leadership: Successfully led technical team project implementations.
- Mentorship & coaching: Ability to guide and develop engineers.
- Work delegation & execution: Breaking down and distributing tasks effectively.
- People management experience (Nice to have).
- ETL/ELT: AWS Glue, Airflow, or similar tools.
- Datastores: BigQuery, ELK Stack, DynamoDB, other data warehousing tech.
- Data exchange/integration: Mirth Connect or similar tools.
- Free lunch every day and fully-stocked micro-kitchen and coffee/tea bar
- Team offsites, game hours, tech talks, and design sprints
- Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid)
- Dental / vision/wellness benefits
- 401k matching
- Unlimited PTO
- Flexible work-from-home policy for work/life balance (3 days in-office, accommodation for occasional WFH days)
- Relocation assistance
- Generous parental leave (4 months for the birthing parent, 2 months for a partner, 100% paid)
This is a hybrid role with a 3-day-a-week in-office requirement in Menlo Park, California. While we are flexible with occasional work from home, we've built an incredible group of people who enjoy the team environment we've created, and our engineering, product, and design organizations are all currently co-located in the Bay Area.
If you are inspired by our mission and think you could have an impact on us achieving it, but currently sit outside of these role expectations, we encourage you to still get in touch.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Lead end-to-end technical recruiting for senior engineering roles at Sprinter Health, focusing on sourcing, assessment, and closing top Bay Area talent on a hybrid schedule at Menlo Park HQ.
AmeriLife is hiring a Director of Data Governance to define and enforce enterprise data policies, certify datasets, and partner with business and technical stakeholders to ensure trusted, compliant data across the organization.
Apply your spreadsheet mastery and obsessive attention to detail at BuildOn Technologies as an Estimated Data Specialist responsible for flawless product option catalogs, accurate pricing, and customer-facing support during implementations.
CompScience seeks a Senior Data Engineer to architect and operate scalable AWS data systems that power analytics and underwriting for a mission-driven InsurTech startup.
Senior Data/AI Engineer sought to lead cloud-native data integration, warehousing, and AI/ML initiatives for a market-leading mortgage securitization fintech.
Lead HubSpot’s enterprise data quality strategy and a remote team to build AI-powered data profiling, anomaly detection, and remediation that ensures trusted sales and marketing data.
Cohere Health is hiring a remote Business Intelligence Engineer II to develop scalable dashboards and analyses that drive clinical and operational decisions.
Lead the Data Platform engineering team at Cohere Health to build scalable, secure, and enterprise-grade data infrastructure that powers analytics and real-time healthcare applications.
Capgemini is hiring an FBS Data Engineer to design ETL and data schemas, build business logic in databases, and develop Power BI reporting for a major US insurance client.
ChowNow is looking for a Senior Data Analytics Engineer to develop and maintain a modern Snowflake + dbt data stack that delivers accurate, timely analytics and product-facing insights across the business.
Lead and grow Toptal’s Data practice as the P&L-owning Practice Director, building scalable data services and driving go-to-market, sales enablement, and talent development across the U.S. market.
Work with a product-focused analytics team at ValueCheck to build and optimize SQL-based ETL pipelines, deliver data visualizations in Power BI and Python, and produce actionable insights for lending and valuation workflows.
CoBank seeks a Senior Data Engineer to lead ETL and data architecture efforts, build self-serve tooling, and mentor teams in a hybrid work environment.
Kiavi is hiring a Senior Python MLOps Engineer to build and productionize scalable ML platforms and CI/CD pipelines supporting real-time, batch, and LLM workloads.
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
