Senior Data Engineer

Overview In this role you will design and operate scalable data pipelines that ingest and normalize healthcare data from EHRs, devices, and hospital systems to support AI-driven monitoring. You’ll work with backend, ML, clinical teams, and customer partners to ensure secure, compliant data flows for predictive analytics. You will own data warehouses and pipelines in cloud environments, enabling real-time and analytics workloads while maintaining HIPAA-compliant practices. This is a hands-on, reliability-focused position with meaningful impact on patient outcomes. Compensation / Benefits100% companypaid medical, dental, vision401(k) with matchGenerous PTOCommuter stipend ResponsibilitiesDesign, build, and maintain scalable data pipelines for healthcare data ingestionDevelop integrations using REST APIs, webhooks, CDC/log shipping for SQL ServerTransform and normalize data before loading into MySQL and SnowflakeEnsure robustness and scalability to handle high data volumesManage healthcare data domains: ADT, conditions, medications, allergies, clinical notes, vital signsWork with HL7 v2 and FHIR standards; collaborate with customer tech teams for onboarding and troubleshootingDesign schemas and transformations supporting real-time needs and ML workloadsOptimize performance and cost in Snowflake and MySQLDeploy and operate pipelines in AWS; implement monitoring, logging, and dashboardsSupport production reliability, incident response, and continuous improvementMaintain data security and privacy per HIPAA and SOC 2, with access control and audit loggingDocument data flows, transformations, and processesCollaborate with Data Science and ML teams on model training, feature generation, and data labelingDevelop internal tooling with backend engineers for ingestion, validation, and monitoring Key requirements5+ years of data or backend engineering experienceStrong Python proficiency for data pipelines and backend developmentStrong SQL proficiencyHands-on experience with MySQL and Snowflake; schema design and optimizationExperience integrating data from Microsoft SQL Server (log shipping or CDC)Experience building high-throughput data pipelines from ingestion to storageProduction system deployment in AWSFamiliarity with APIs, webhooks, and event-driven architecturesExperience handling sensitive or regulated datacollaboration with cross-functional teamsstrong problem-solving and debuggingattention to data quality and securityPython for data engineering and backendSQLMySQL