Data Engineer
San Francisco, California
Engineering, Product, and Design – Engineering /
Full-Time /
On-site
Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. We believe that the biggest problem facing value-based care is the inability for parties to accurately measure and forecast contract performance. We are building a generational company that is positioned to solve this. Through our unique depth of technology and actuarial insight, Arbital Health enables payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability.
We were co-founded by Brian Overstreet and Travis May (founder & former CEO of LiveRamp and Datavant, the two biggest data companies of the last 20 years), and are backed by Transformation Capital and other leading investors. In our first 18 months, Arbital Health has established itself as a trusted partner for over 40 payers, providers, and other stakeholders looking to navigate the complexities of risk-based contracting.
We hire individuals who are smart, nice, and get things done. We invest in hiring high potential and humble individuals who thrive in fast-paced environments and can rapidly grow their responsibilities as we continue to accelerate our growth.
We’ve built the initial production data pipelines that ingest, enrich, aggregate, and summarize healthcare financial data so it can be easily visualized in our web app by our customers. In addition to sophisticated financial calculations, this code matches patients against a benchmark population so that our clients can understand how their patients are doing in comparison to similar individuals. We're looking for an ambitious data scientist or data engineer to help us enhance and scale this core part of our platform.
Is this role right for you?
If you are excited about building a new healthcare data and analytics platform to support Value Based Care ( VBC) that will help reduce the cost of healthcare in the US and the following matches your skills, experience, and interests:
· 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
Responsibilities:
- 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 for contract adjudication
- 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:
- 2 - 4 yrs of professional 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 and the big picture driving the need for them
- Ability to ship extremely high-caliber code and build exceptional products
- High level of attention to detail
- Ability to perform under minimal supervision with accountability for specific objectives and work in a rapidly changing, ambiguous start-up environment
- Passionate about improving and innovating
- Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who can work two days per week from our San Francisco office. We will also consider highly qualified remote candidates who can travel to San Francisco for in-person collaboration several days per month.
Nice to have's:
- Startup experience is highly preferred
- Product development coding in R
- Extensive experience with Airflow, Databricks, Python, and AWS or GCP
- Tools we use include
- Infrastructure: AWS, GCP, Databricks, Airflow, Sigma, Datadog
- Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS
- IDE: Cursor, VS Code, and R Studio
- Version Control: GitHub
- Team Planning: Jira, Confluence, Figma
The target salary range for this role is between $150,000-$160,000 +/- depending upon experience
Why Join Us?
We are assembling a team of creative, talented visionaries seeking to build a new technology that will change healthcare. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.
We Offer:
• Generous equity grants of ISO stock options
• We offer an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance
• 4% 401(k) match
• Flexible PTO, a weeklong winter shutdown, and 10 holidays each year
• Flexible hybrid work blending 1-2x week in-office (SF-area team) and collaboration weeks 1-3x per year (all employees). We are open to remote workers outside the SF Bay Area who are willing to travel for in-person collaboration up to 20% time.
• Quarterly team offsites
• The opportunity to build a critical software platform that accelerates the American healthcare system's transition to value-based care
