MedBridge

Staff Data Engineer, Individual Contributor | Data & Machine Learning

Bellevue, WA, US$180,000-$200,000Posted 23 days ago

Job Description

Join the team shaping the future of healthcare! Medbridge is a dynamic software company working with the country’s largest healthcare providers to build technology solutions that help patients get better faster while decreasing the overall cost of care. The Data & Machine Learning team is building a secure, reliable data foundation that will power better decisions, intelligent product experiences, and improved care for millions of patients.

We hire in the following states: AZ, CO, FL, GA, ID, IL, KS, MA, MI, MN, MO, NH, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, and WI.

Why work at Medbridge?

  • We are mission driven. Our mission is clear—we want to help everyone move well, feel well, and live well.
  • You’ll make an impact here. 300,000+ clinicians use our products daily, impacting millions of patients. The content you create helps them stay informed and deliver better care.
  • Our customers love Medbridge! We work with 9 of the top 10 private practice and hospital systems nationwide, and 6 of the top 10 home health organizations.

The Staff Data Engineer is the senior individual contributor responsible for Medbridge’s data-platform architecture, security, reliability, and data movement. This is a hands-on role for someone who can simplify a developing environment while introducing the engineering rigor required for internal analytics, secure external use, AI workloads, and data-powered product experiences. Success means creating a simpler, more reliable experience for data producers and consumers, not merely moving complexity into new tools. The role partners closely with Analytics Engineering, DevOps, Data Science, Security, Product Engineering, ML, and the Integrations team, leading through influence rather than direct people management.

In this role you will

* Own the target-state architecture and technical roadmap for Medbridge’s Snowflake-centered data platform, balancing security, reliability, usability, innovatio

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