About the Role

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 CTO, 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.

Key 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.

Required 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.

What You Bring

• 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.

$150,000 - $220,000 a year

As a full-time Data Engineer, you will be employed by Circadia Health, Inc. The anticipated annual base salary range for this full-time position is $150,000 - $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.