Lead Data Engineer (Palo Alto)

Youll take full ownership of data at a healthtech company with millions of lives to impact setting architecture, choosing tools, and building the entire data platform from scratch.

Youll be the first Data Engineer at a nationally scaling healthtech company, backed by leadership and trusted to build it your way. No legacy systems, no hand-holding just a clear vision and the space to make it real.

This is greenfield with support. Youll design the data stack from scratch, with full autonomy and direct input into business strategy. Whether it's dbt, Spark, Snowflake or Lakehouse you decide what fits. Your work wont just serve analysts or dashboards; itll fuel every squad across the business, from product to care delivery to AI / ML.

And this isnt a solo mission. Youll mentor engineers, influence data best practices, and leave a lasting imprint on the companys tech culture. With just two office days a week, youll have deep focus time to ship meaningful work without the burnout.

What youd be doing

• Design and build the entire data platform architecture, tooling, pipelines, and warehousing
• Deliver scalable, future-ready infrastructure that powers analytics, data science, and ML
• Drive data strategy and work closely with squads across product, engineering, and operations
• Create clean, reusable data products to support self-serve analytics and decision-making
• Set standards, mentor junior engineers, and build a high-quality engineering environment

What youd bring