Data Engineer
Circadia Health
- Los Angeles, California, United States
- Los Angeles, California, United States
About
Contactless sensing that monitors respiration and motion with medical-grade accuracy
Native predictive models that detect 85% of preventable adverse events several days in advance
Enterprise integrations that operationalize predictions directly inside EHR, care-coordination, billing, and compliance workflows
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.
What You’ll Do
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.
Healthcare Data & EHR Integrations
Integrate and manage healthcare data domains including:
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.
Data Platforms & Warehousing
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 .
Cloud Deployment & Operations
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.
Security, Compliance & Data Quality
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.
Must‑Have Qualifications
5+ years of experience in
Data Engineering , Backend Engineering, or a closely related role.
Strong proficiency in
Python
for data pipeline and backend development.
Strong proficiency in
SQL .
Hands-on experience with
MySQL
and
Snowflake , including schema design and performance optimization.
Experience integrating data from
Microsoft SQL Server , including log shipping or CDC-style approaches.
Experience building high-throughput data pipelines from ingestion through transformation and storage.
Experience deploying and operating production systems in a major cloud provider ( AWS preferred ).
Familiarity with APIs, webhooks, and event-driven architectures.
Experience working with sensitive or regulated data.
Nice-To-Have Qualifications
Experience integrating with EHR systems (e.g., Epic, Homecare Homebase, PointClickCare).
Familiarity with healthcare data standards such as
HL7
and
FHIR .
Experience supporting machine learning or data science teams.
Experience with data orchestration, workflow management, or streaming systems.
Background in healthcare, medical devices, or clinical data systems.
Exposure to HIPAA compliance and healthcare security best practices.
You take ownership of data systems end-to-end — from ingestion to analytics.
You care deeply about data quality, reliability, and operational excellence.
You are comfortable working in complex integration environments where every customer system is different.
You communicate clearly across engineering, data, and clinical teams.
You’re motivated by building technology that directly improves patient care.
Base Salary:
$150k - $220k base salary + meaningful employee stock options
Benefits:
100% company‑paid medical, dental, vision; 401(k) with match; generous PTO; commuter stipend
Workspace:
El Segundo HQ with rooftop views, stocked espresso bar, and
weekly
team lunches
Growth:
Access to clinical advisors, AI research partners, and a front‑row seat to the future of healthcare AI
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Languages
- English
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