Software Engineer, Data Integration

Bayesian Health is a rapidly growing healthcare technology startup focused on making healthcare proactive by empowering clinicians with real-time, patient-specific data and insights. The Software Engineer, Data Integration will build and maintain integrations between complex Electronic Health Record systems and the Bayesian platform, including data ingestion pipelines, automated testing, production deployments, troubleshooting, and integration tooling and automation.

Responsibilities:

• Data Integration & Ingestion: Partner with the client's technical teams to design and implement the data integration interface and ingestion pipelines that feed the Bayesian platform with real-time clinical data, powering insights that improve patient outcomes
• Integration Testing & Troubleshooting: Implement automated integration tests at the data layer, and work directly with client technical teams during integration testing to investigate and resolve issues, ensuring smooth and timely integrations
• Production Deployment & Go-Live: Execute the deployment process in close collaboration with the client's technical team, ensuring build and configuration for the data interface, ingestion, and mapping are successfully promoted to production for a seamless launch. During go-live week, you will serve as the technical point of contact for any data integration issues, both internally and with the client's teams, providing clear status updates to cross-functional partners so they can effectively manage client communication
• Integration Tooling & Automation: Develop frameworks and tooling, leveraging LLMs and automation, to increase the efficiency and velocity of our platform integrations as we scale
• Cross-Functional Collaboration: Work alongside an Implementation Lead, Clinical Integration, and the client's technical teams to align the data integration workstream with the overall integration effort

Requirements:

• BS in Computer Science or other relevant technical discipline
• 3+ years building and deploying data interface and ingestion pipelines to production, including integration with external APIs (Python preferred)
• Strong ability to investigate and resolve data correctness problem end-to-end, across services, storage, and external data sources
• Experience with cloud solutions (AWS, Azure, etc.) and relational databases (PostgreSQL, MySQL, etc.) in a production environment
• Experience writing automated integration tests for production systems
• Experience rolling out production deployments, supporting systems through go-live via an on-call or support rotation, and triaging production issues
• Strong communicator with a demonstrated ability to collaborate across functions, working effectively with internal stakeholders, including Project/Product Managers, to align on priorities and deliver results
• Experience with SMART on FHIR applications, integration with Electronic Health Records (EHR) systems, and Health IT interoperability standards such as HL7v2 and FHIR
• Experience working with enterprise customers, and the agility and responsiveness they require
• Experience building internal tooling or automation, including leveraging LLMs, to improve engineering velocity