Data Engineer

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.