Data Engineer

About Circadia Health

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
.

Why This Role Exists

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.

• Design, build, and maintain scalable data pipelines to ingest healthcare data from customer EHR systems and hospital databases.
• Develop integrations using:
• REST APIs and webhook‑driven workflows
• Database log shipping and change data capture (CDC) mechanisms, including Microsoft SQL Server‑based systems
• Transform, validate, and normalize incoming clinical data before loading it into Circadia’s MySQL and Snowflake environments.
• Ensure pipelines are robust, fault‑tolerant, and capable of handling large data volumes.

• Integrate and manage healthcare data domains including:
• Admissions, Discharges, Transfers (ADT)
• Conditions, medications, allergies
• Clinical notes and progress notes
• Vital signs and physiological measurements
• Work with healthcare interoperability standards and protocols such as:
• HL7 v2
• FHIR
• Partner with customer technical teams to support onboarding, troubleshooting, and ongoing data reliability.

• Take ownership of Circadia’s operational databases and analytical data warehouses.
• Design schemas and transformations that support both real‑time application needs and downstream analytics and ML workloads.
• Optimize performance, cost, and scalability within Snowflake and MySQL
  .

• Deploy and operate data pipelines and services in AWS
  .
• Implement monitoring, logging, alerting, and operational dashboards for data workflows.
• Support production reliability, incident response, and continuous improvement of data systems.

• Ensure all data pipelines meet healthcare security and privacy requirements, including HIPAA and SoC 2.
• Apply best practices for handling Protected Health Information (PHI), including access control, encryption, and audit logging.
• Maintain clear documentation of data flows, transformations, and operational processes.

• Work closely with Data Science and ML teams to support:
• Model training and evaluation
• Feature generation and data labeling workflows
• Collaborate with backend engineers to develop internal tooling for data ingestion, validation, and monitoring.
• Participate in architecture discussions to ensure data systems scale with Circadia’s growth.

• 5+ years of experience in Data Engineering
  , Backend Engineering, or a…