Data Engineer
Company: Circadia Health
Location: Los Angeles
Posted on: February 15, 2026
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Job Description:
Job Description Job Description 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. What You’ll Do Data
Pipeline & Integration Development 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: 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. 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. Collaboration & Enablement 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?Haves Experience integrating with EHR
systems (e.g., Epic, Homecare Homease, 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’ll Thrive Here If… 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. Compensation &
Perks 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 We
may use artificial intelligence (AI) tools to support parts of the
hiring process, such as reviewing applications, analyzing resumes,
or assessing responses. These tools assist our recruitment team but
do not replace human judgment. Final hiring decisions are
ultimately made by humans. If you would like more information about
how your data is processed, please contact us.
Keywords: Circadia Health, Los Angeles , Data Engineer, IT / Software / Systems , Los Angeles, California