Software Engineer, Data Integration
Builds and deploys real-time clinical data integrations between EHR systems and a healthcare platform. The role requires 3+ years of production data pipeline experience, Python, cloud and relational database expertise, integration testing, and deployment support.
About the job
Responsibilities
- Design and implement data integration interfaces and ingestion pipelines connecting complex Electronic Health Record (EHR) systems to the platform.
- Implement automated integration tests at the data layer.
- Work with client technical teams to investigate and resolve integration issues and data correctness problems.
- Execute production deployments for data interfaces, ingestion, and mapping configurations.
- Serve as the technical point of contact for data integration issues during go-live.
- Develop integration frameworks and tooling, including LLM-powered automation, to improve platform integration efficiency.
- Collaborate with Implementation Leads, Clinical Integration team members, client technical teams, and cross-functional stakeholders.
Requirements
- Bachelor’s degree in Computer Science or another relevant technical discipline.
- 3+ years building and deploying production data interfaces and ingestion pipelines, including integrations with external APIs; Python preferred.
- Ability to investigate and resolve data correctness problems end to end across services, storage, and external data sources.
- Production experience with cloud solutions such as AWS or Azure.
- Production experience with relational databases such as PostgreSQL or MySQL.
- Experience writing automated integration tests for production systems.
- Experience deploying production systems, supporting go-live through an on-call or support rotation, and triaging production issues.
- Strong communication and cross-functional collaboration skills.
Nice-to-haves
- Experience with SMART on FHIR applications, Electronic Health Record (EHR) integrations, and healthcare interoperability standards such as HL7v2 and FHIR.
- Experience working with enterprise customers.
- Experience building internal tooling or automation, including leveraging LLMs, to improve engineering velocity.
Skills
Python, AWS, Azure, Postgres, MySQL, REST APIs, Smart On Fhir, FHIR, Hl7V2, LLMs, Automated Integration Testing, Data Pipelines
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