Data Engineer

Circadia Health is a growth‑stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior‑care operations. Our Circadia Intelligence Platform combines:

Contactless sensing that monitors respiration and motion with medical‑grade accuracy

Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance

Enterprise integrations that embed insights directly into EHR, care‑coordination, billing, and compliance systems

Today our technology touches 40,000+ post‑acute patients daily across skilled‑nursing, home‑health, and home‑care networks. We are backed by leading healthcare and AI investors and headquartered in El Segundo, CA.

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 Lead AI Engineer, 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.