Senior Data Engineer

Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. We enable payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability. 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 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, Valtruis and other leading investors. In our first 2 years, 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’ve built a production data pipeline that ingests, enriches, aggregates, and summarizes healthcare financial data so it can be easily utilized in our AI and web tools. As we're continuing to scale in both data size and complexity, we are looking for a senior 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, Spark or other big data technologies Development and deployment of a data-intensive product on AWS and Databricks AI-native development with Cursor/Claude/Copilot Responsibilities: Scale Arbital's healthcare data pipelines and lakehouse on AWS and Databricks, and own the underlying architecture Implement and scale actuarially sound healthcare financial calculations in Spark Build and maintain orchestration (Airflow) and CI/CD so enrichment and