WHO YOU ARE:
You operate end to end on features and pipelines and you’re independent on most of your work. You can evaluate pipelines across multiple dimensions like cost and performance and you contribute to the platform itself not just the pipelines running on it. You think and support laterally across many pipelines at once rather than staying heads down in just one. You take specific messy or raw requirements and work with product team members to turn them into generalized reusable components without over engineering the solution. You’re comfortable leading conversations with external stakeholders, explaining the why behind your decisions and walking people through design tradeoffs so they understand the reasoning not just the outcome.

WHAT YOU’LL DO:

  • Develop new data product pipelines that support customer use cases across APIs, analytics surfaces, and internal applications
  • Contribute to data quality strategies and help define what good DQ looks like across the pipelines you own
  • Build intentional metadata into pipelines so they’re observable, AI ready, and discoverable by default rather than as an afterthought
  • Turn specific or messy requirements into generalized, reusable components by partnering closely with product team members
  • Evaluate pipelines across cost, performance, and reliability and make improvements based on that evaluation
  • Contribute to the broader Data Foundation Platform, not just the pipelines that sit on top of it
  • Support laterally across multiple pipelines and teams, not just the one you’re primarily responsible for
  • Lead conversations with external stakeholders, providing context and explaining tradeoffs behind technical decisions
  • Partner with Product, Data Science, and application teams to translate healthcare use cases into solid technical designs
  • Maintain strong engineering fundamentals across code quality, testing, documentation, and CI/CD

    Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

WHAT YOU’LL HAVE:

  • Solid understanding of US healthcare data such as Claims, EHR, or Payer data, including the nuances behind the data not just how to move it
  • Strong communication skills, with the ability to explain the why behind decisions so stakeholders feel informed
  • Proven experience building production grade data pipelines and services that support real customer use cases
  • Experience with or exposure to AI enabled workflows that improve engineering productivity, data quality, or delivery
  • Comfort operating in a fast growing or ambiguous environment where you’re balancing quality and speed
  • Ability to work independently while still knowing when to loop in others for architectural decisions

Apply Now