Software Engineer, Data Integration

Bayesian Health
United States
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional collaboration","Troubleshooting","End-to-end problem solving"]

Build and deploy real-time data integrations between complex Electronic Health Record (EHR) systems and the Bayesian platform. Partner with client technical teams to design ingestion pipelines, run automated integration tests, troubleshoot data correctness issues, and support production deployments through go-live. Develop tooling and automation leveraging LLMs to scale integration velocity, collaborating closely with Implementation and Clinical Integration teams to deliver lifesaving clinical insights.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Bayesian Health
Bayesian Health
22 hours ago

Software Engineer, Data Integration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build and deploy real-time data integrations between complex Electronic Health Record (EHR) systems and the Bayesian platform. Partner with client technical teams to design ingestion pipelines, run automated integration tests, troubleshoot data correctness issues, and support production deployments through go-live. Develop tooling and automation leveraging LLMs to scale integration velocity, collaborating closely with Implementation and Clinical Integration teams to deliver lifesaving clinical insights.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement data integration interfaces and ingestion pipelines that feed the Bayesian platform with real-time clinical data.
  • •Implement automated integration tests at the data layer and troubleshoot issues with client technical teams to ensure timely integrations.
  • •Execute production deployment and go-live in close collaboration with client teams, serving as the technical point of contact for integration issues during go-live week.
  • •Develop integration tooling and automation, leveraging LLMs, to increase integration efficiency and velocity as the platform scales.
  • •Collaborate cross-functionally with Implementation Lead, Clinical Integration, and client technical teams to align the data integration workstream with the overall effort.

Key Requirements

  • •BS in Computer Science or other relevant technical discipline
  • •3+ years building and deploying production data interface and ingestion pipelines, including integration with external APIs (Python preferred)
  • •Strong ability to investigate and resolve data correctness problems end-to-end across services, storage, and external data sources
  • •Experience with cloud solutions (AWS, Azure, etc.) and relational databases (PostgreSQL, MySQL, etc.) in production
  • •Experience writing automated integration tests and supporting production deployments through go-live/on-call rotation
Experience:3+ yearsHealthcareEHRData integrationAPIs
Education:Bachelor's in Computer Science
Skills:CommunicationCross-functional collaborationTroubleshootingEnd-to-end problem solving
Tech Stack:PythonLLMsAWSAzurePostgreSQLMySQLRelational databasesExternal APIsSMART on FHIRFHIRHL7v2

Company Brief

Bayesian Health
Provides an adaptive clinical AI/ML platform that integrates with EMRs to deliver real-time early-warning signals and workflow-integrated decision support for hospitals to detect deterioration, sepsis, pressure injuries and other adverse outcomes.
Industry: HealthTech
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York, United States
Founded: 2016
Glassdoor
Glassdoor: 4.2
WebsiteLinkedInGlassdoor