Software Engineer, Data Integration
Bayesian Health, Inc.25 days ago
Remote, United StatesMid Level
Responsibilities
- Design and implement data integration interfaces and ingestion pipelines that deliver real-time clinical data to the Bayesian platform.
- Build automated integration tests and investigate and resolve integration and data correctness issues with client technical teams.
- Execute production deployments and serve as the technical point of contact for data integration issues during go-live.
- Develop integration frameworks, tooling, and automation, including leveraging LLMs to improve platform integration velocity.
- Collaborate with Implementation Leads, Clinical Integration, client technical teams, and internal cross-functional stakeholders.
Requirements
- BS in Computer Science or equivalent practical experience.
- At least 3 years of experience building and deploying production data pipelines, including integrations with external APIs; Python is 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 and relational databases such as PostgreSQL or MySQL.
- Experience writing automated integration tests for production systems.
- Strong communication and cross-functional collaboration skills.
- Preferred: experience with health data, EHR systems, HL7v2, FHIR, production deployments, go-live or support rotations, production issue triage, enterprise customers, and internal tooling or LLM-based automation.
Tech Stack
Categories
Data Engineering