Bayesian Health
Software Engineer, Data Integration
About this role
Join Bayesian Health as a Software Engineer to build critical data integration bridges between EHR systems and our clinical platform, enabling real-time insights that help clinicians save lives. You'll own the full lifecycle of integrations—from design and testing through production deployment—while collaborating with health system partners and internal teams in a remote role.
What you'll do
- Design and implement data integration interfaces and ingestion pipelines that feed real-time clinical data to the Bayesian platform
- Develop and execute automated integration tests at the data layer and troubleshoot issues with client technical teams
- Lead production deployment and go-live activities, serving as technical point of contact for data integration issues
- Build integration frameworks and automation tooling leveraging LLMs to improve platform scalability and velocity
- Collaborate cross-functionally with Implementation Leads, Clinical Integration teams, and external client technical teams
- Support production systems through on-call rotation and triage production data integration issues
What they're looking for
- Python development and pipeline architecture
- Data integration and ETL pipeline design
- Cloud platforms (AWS, Azure, GCP)
- Relational databases (PostgreSQL, MySQL)
- Automated testing and test frameworks
- Production deployment and DevOps practices
- API integration and external data source connectivity
- Troubleshooting and debugging across distributed systems
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Bayesian Health
Bayesian Health builds clinical AI/ML products that provide physicians and healthcare systems with real-time data insights and analytics to improve patient outcomes. The company is hiring infrastructure engineers, full-stack software engineers, forward deployed engineers, and senior engineers to develop scalable cloud platforms, EHR integrations, CI/CD pipelines, and analytics infrastructure that power enterprise healthcare deployments.
- Website
- bayesianhealth.com
Likely interview questions
- Walk us through a complex data integration you built—what were the challenges and how did you ensure data correctness end-to-end?
- Describe your experience with production deployments and go-live support. How do you handle high-pressure situations when issues arise?