Software Engineer, Data Integration

In Brief

• We're a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
• Join us in transforming healthcare from reactive to proactive. You’ll spearhead the engineering effort to build the bridge between massive, complex Electronic Health Record (EHR) systems and the Bayesian platform, delivering critical, real-time insights to help clinicians save lives.

What You’ll Do

You will be at the forefront of a high-impact engineering mission, building the bridge between massive, complex Electronic Health Record (EHR) systems and the Bayesian platform to generate real-time lifesaving clinical insights that clinicians rely on. Working directly with our health system clients' technical teams, you'll turn fragmented data into immediate, actionable clinical insights that empower care teams to make the best decisions for their patients.

Each integration is a partnership. An Implementation Lead owns the client relationship and project management; a Clinical Integration owns clinical workflow design and training. You own the technical workstream - which means you're the engineer in the room. When a lab result isn't reaching the Bayesian platform for a patient, you have thirty minutes and the client's full attention to trace it from the inbound HL7 message through parsing, mapping, and ingestion, and tell them what happened.

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.

Minimum Qualifications

• BS in Computer Science or equivalent practical experience
• 3+ years building and deploying data 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
• 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.

Preferred Qualifications

• Experience with health data, integration with Electronic Health Records (EHR) systems, and Health IT interoperability standards such as HL7v2 and FHIR.
• Experience rolling out production deployments, supporting systems through go-live via an on-call or support rotation, and triaging production issues
• 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

Additional information

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