Position Overview
As a Data Engineer at Circadia Health, you will play a critical role in building and maintaining the data infrastructure that powers Circadia’s AI-driven clinical monitoring platform. You will design and operate robust data pipelines that ingest, transform, and distribute sensitive healthcare data originating from Electronic Health Record (EHR) systems, medical devices, and hospital information systems.
Reporting directly to the CTO, you will work closely with backend engineers, ML engineers, clinical teams, and customer integration partners to ensure reliable, secure, and compliant flow of patient data – including ADT events, conditions, medications, allergies, clinical notes, and vital signs.
Your work will directly enable Circadia’s predictive analytics and machine learning models that identify early signs of clinical deterioration, helping clinicians intervene sooner and improve patient outcomes. This is a hands-on role where production-grade data engineering, reliability, and healthcare compliance are non-negotiable.
Why Circadia Health
Circadia Health is redefining patient monitoring through contactless sensing and AI-driven clinical insights. As we scale from tens of thousands to hundreds of thousands of monitored patients, our data infrastructure is central to everything we do.
You’ll have the opportunity to:
- Work on real-world healthcare problems with measurable patient impact
- Build data systems that power clinical-grade AI and ML
- Take ownership in a fast-growing, mission-driven company
- Collaborate with a highly skilled, multidisciplinary team