What are the responsibilities and job description for the AI Incubator - Senior Data Engineer position at Sprinter Health?
About Sprinter Health
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 have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway.
About The Role
We're looking for an entrepreneurial Data Engineer with interest in agentic AI and at least 5 years of general engineering experience who wants to make an impact as one of the founding engineers of our new AI-focused incubator teams. We want to make a difference in the lives of those falling between the cracks of the current healthcare system, and could use all the help we can get exploring how AI can help bridge those gaps.
We are a hybrid company based in the Bay Area with offices in both San Francisco & Menlo Park. We care about work-life balance, and understand that there will be times where flexibility is needed.
What You Have Done
Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers.
If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.
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 have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway.
About The Role
We're looking for an entrepreneurial Data Engineer with interest in agentic AI and at least 5 years of general engineering experience who wants to make an impact as one of the founding engineers of our new AI-focused incubator teams. We want to make a difference in the lives of those falling between the cracks of the current healthcare system, and could use all the help we can get exploring how AI can help bridge those gaps.
- If you love working 0 → 1*, we want to talk to you. While our core products are already humming, we're always looking for new ideas to expand access to care. And as a "startup within a startup", our incubator teams will have all of the freedom of a seed stage startup, but with the unfair advantage of direct customer relationships with 6 of the 10 largest US health plans and access to much deeper resources.
We are a hybrid company based in the Bay Area with offices in both San Francisco & Menlo Park. We care about work-life balance, and understand that there will be times where flexibility is needed.
What You Have Done
- Data Engineering: At least 5 years of broad experience
- 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.)
- Startup Culture: At least 1 year of experience working at the seed stage, whether as a cofounder or early engineer. An impatient desire to hack, scrappiness is a virtue!
- Technologies: Python and JS/TS (Join and help us decide!)
- We aim to complete the interview process between 2-3 weeks. It will usually consist of:
- Recruiter Screen (30-Minutes)
- Hiring Manager Introduction (30-Minutes)
- Technical Assessment (45-Minutes)
- Onsite Interview: Systems Design Behavioral Interview Lunch with the Team (3-hours)
- References
- 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, plus short and long-term disability coverage
- Free daily lunch in-office
- Annual learning stipend
Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers.
If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.