About the role
We are looking for a Data Engineer with 3–7 years of experience to join a lean, high-impact data team scaling infrastructure for a rapidly growing data company pointed at healthcare. You'll own the design and build of next-generation data pipelines and infrastructure that power both internal analytics and customer-facing products – working with data models that range from modern to decades-old legacy systems. This is a ground-floor opportunity to shape how data flows through a platform processing hundreds of millions in medical claims, alongside a team that values ownership, pace, and the ability to navigate ambiguity.
What you will be doing
-
Designing and building new data infrastructure from scratch – including pipelines, ETL processes, and data delivery systems that support both internal teams and external customers
-
Wrangling complex and messy customer data models, modernizing legacy systems (some from the 90s) into a unified, scalable platform
-
Scaling existing data infrastructure to handle rapidly growing enterprise customers with increasingly large and complex datasets
-
Collaborating with forward-deployed engineers, product, and operations teams to ensure data pipelines are reliable and performant
-
Contributing to data governance and building a robust data culture – ensuring data is trusted, accessible, and central to how the company measures impact
