Senior Data Engineer
Hybrid
Full Time
#Healthcare
#Data Engineering
#AI
#BigQuery
#Airflow
#DBT
#AWS Glue
#Python
#JavaScript
#ETL
#Scalable Systems
At Sprinter Health, we are dedicated to transforming how individuals access medical care by bringing essential services directly to their homes. A significant portion of the population in the United States currently misses out on necessary preventive or chronic care due to logistical barriers, which often leads to avoidable emergency room visits and billions in unnecessary costs. By leveraging the same sophisticated technology that drives modern marketplace and delivery platforms, we provide care where it is needed most. To date, we have supported over 2 million patients across 22 states and completed more than 130,000 in-home visits, all while maintaining a 92 NPS. Backed by $125M in funding from prominent investors like a16z, General Catalyst, GV, and Accel, we are seeking a Senior Data Engineer to join our new AI-focused incubator team. This role offers the agility of a seed-stage startup combined with the robust resources and established partnerships of an industry leader.
Key outcomes
- Design and maintain scalable data systems and robust ETL/ELT pipelines.
- Serve as a founding engineer within our incubator team to explore agentic AI applications in healthcare.
- Implement observability best practices to ensure data integrity and system performance.
- Collaborate with cross-functional teams to bridge gaps in the current healthcare system through innovative technical solutions.
- Utilize your expertise in Python and JavaScript to build and refine our core data architecture.
Requirements
- At least 5 years of broad experience in data engineering.
- A minimum of 1 year of experience operating in a seed-stage environment, demonstrating a scrappy and entrepreneurial mindset.
- Proven hands-on proficiency with BigQuery, Airflow, DBT, or AWS Glue.
- A deep understanding of various database architectures, including relational, document, columnar, key-value, and vector databases.
- Fluency in English and the ability to work in a hybrid capacity from our Bay Area offices.
Compensation
We provide a comprehensive benefits package designed to support your well-being and long-term growth. This includes:
- Meaningful pre-IPO equity.
- Medical, dental, and vision insurance plans that are 100% paid for you and your dependents.
- 401k retirement plan with company match.
- Generous paid time off, including flexible PTO and 10 paid holidays.
- Comprehensive maternity and paternity leave policies.
- Life insurance and disability coverage.
- An annual learning budget to support your professional development.
How to apply
If you are passionate about building from the ground up and want to help us redefine healthcare access, we would love to hear from you. Our interview process is designed to be efficient, typically spanning 2 to 3 weeks, and includes a recruiter screen, a technical assessment, and an onsite systems design interview. Please submit your application through our official careers portal to begin the conversation.
