Data Engineer
Description For Data Engineer
Arbital Health is revolutionizing healthcare by building a platform that facilitates value-based care agreements. As a Data Engineer, you'll be instrumental in developing and scaling data pipelines that process healthcare financial data for visualization and analysis. The role combines technical expertise in Python, AWS, and Databricks with healthcare domain knowledge to build sophisticated financial calculations and patient benchmarking systems.
The position offers a compelling opportunity to work on meaningful healthcare technology while being part of a collaborative team. You'll be responsible for building scalable data pipelines, implementing quality control procedures, and working closely with data scientists and actuarial teams. The role requires strong programming skills, particularly in Python, and experience with data-intensive SaaS platforms.
The company offers a competitive compensation package starting at $150,000-$160,000, along with comprehensive benefits including equity, health insurance, and 401(k) matching. The work environment is hybrid, requiring 1-2 days per week in the San Francisco office, with flexibility for remote work. This is an excellent opportunity for someone passionate about using data engineering to transform healthcare while working with modern tools and technologies in a startup environment.
Responsibilities For Data Engineer
- Help build Arbital's highly scalable data pipelines and warehouses using platforms like AWS and Databricks
- Automate and maintain data workflows for enrichment, aggregation, and quality assurance
- Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures
- Work on a team with full-stack engineers and actuarial coders to implement end-to-end solutions
- Implement and scale actuarially sound healthcare financial calculations
- Collaborate with actuarial science and delivery teams that primarily work in R and Excel
- Partner with data scientists to deploy machine learning models in production
- Contribute to the design, implementation, and overall development of our products
- Drive innovation and deliver valuable features for our customers
Requirements For Data Engineer
- Experience in data-intensive, SaaS platform development projects
- Demonstrated ability to scale new platforms into enterprise products
- Demonstrated history of being able to quickly understand complex modeling workflows
- Ability to ship extremely high-caliber code and build exceptional products
- High level of attention to detail
- Ability to perform under minimal supervision
- Programming in Python (R is a plus)
- Development and deployment of a data intensive product on a SaaS platform
- Statistical or financial calculations, preferably with healthcare data
Benefits For Data Engineer
- Generous equity grants of ISO stock options
- High employer-paid contributions for health, dental, and vision insurance
- 4% 401(k) match
- Flexible PTO
- Weeklong winter shutdown
- 10 holidays each year
- Flexible hybrid work
- Quarterly team offsites
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