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

Software Engineering & Data Integration

• 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.

Data Systems & Databases

• 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).

Healthcare Data

• Administrative: Claims processing OR
• Clinical: EHR data, FHIR, HL7, C-CDA standards.

Technical Leadership & People Management

• 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).

Technologies

• 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.

The Fun Stuff™

• 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)

$180,000 - $230,000 a year

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed reflect the base salary only, and do not include equity or benefits.

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.