Senior 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
• 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 Every prediction we make depends on data arriving correctly from systems we do not control. One operator runs PointClickCare, the next runs HCHB, WellSky, or something else, and their feeds differ in protocol, convention, and reliability. A model that trains on degraded data does not throw an error; it quietly gets worse at detecting deterioration.

Our moat is the corpus itself: 70,000 years of continuous vital signs joined to clinical records from more than 400,000 unique patients. Critical information travels among our platform, EHRs, and internal systems that patients depend on, and all of it relies on a high quality bar. You will own that layer.

What You'll Own

• Pipelines and integrations. Customer EHR systems and hospital databases via REST, webhooks, and CDC or log shipping including Microsoft SQL Server.
• Clinical data. Transform, validate, and normalize ADT, conditions, medications, notes, and vitals across HL7 v2 and FHIR.
• The warehouse. Schemas serving real-time application needs and downstream ML, optimized for performance and cost across Snowflake and MySQL.
• Reliability. Pipelines in AWS with monitoring, alerting, and the data-quality checks that catch silent degradation before a model does.
• Compliance. HIPAA and SOC 2 across every pipeline, with sound PHI handling.

Required Qualifications

• 5+ years in data or backend engineering
• Building high-throughput pipelines from ingestion through transformation and storage
• Strong Python and SQL
• Hands-on Snowflake and MySQL, including schema design and performance tuning
• Production experience in AWS
• Experience with sensitive or regulated data

Preferred

• EHR integrations (PointClickCare, Homecare Homebase, WellSky, Epic), HL7 v2, FHIR, or CDC from SQL Server
• Supporting ML teams in production
• Significant open source, systems that outlived your tenure, or a high-bar engineering background

$135,000 - $220,000 a year

As a full-time Senior Data Engineer, you will be employed by Circadia Health, Inc. The anticipated annual base salary range for this full-time position is $135,000 - $220,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience, and location.

Annual salary is only one part of an employee's total compensation package at Circadia Health. We also offer:

• Meaningful employee stock options
• 100% company-paid medical, dental, and vision coverage
• 401(k)
• Competitive time off with pay policies including vacation, sick days, and company holidays
• Impact: your work will influence care decisions for tens of thousands of seniors every day.
• Culture: hard-working, mission-driven, and collaborative — with weekly and monthly social events like yoga, beach bonfires, and Wednesday/Friday team lunches.

Circadia Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.