Circadia Health · 9 hours ago
Data Engineer
Los Angeles, CA
Full-time
Onsite
Senior Level
$150K/yr - $220K/yr
5+ years expCircadia Health is a growth-stage healthcare AI company focused on preventing avoidable hospitalizations and improving senior-care operations. The Data Engineer will be responsible for building and maintaining the data infrastructure for Circadia’s AI-driven clinical monitoring platform, ensuring the reliable and secure flow of patient data.
Artificial Intelligence (AI)Medical DevicePredictive Analytics
Hiring Manager
Fares Siddiqui
Responsibilities
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
Qualification
Required
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
Preferred
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
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
Company
Circadia Health
is an artificial intelligence company on a mission to prevent respiratory failure using contactless sensing and proprietary algorithms
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$0.41MKey Investors
Village GlobalSOSV
2021-08-31Series A
2019-08-15Seed
2018-12-04Seed
Leadership Team
Fares Siddiqui
CEO and Co-Founder
Recent News
2026-01-06
2025-02-09
Company data provided by crunchbase