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Healthcare Data Architect
3 weeks ago
We are seeking an experienced Data Engineer to lead the design, build, and operation of scalable data pipelines that support real-time clinical workflows.
The ideal candidate will have a strong background in workflow orchestration and event-driven systems, as well as expertise in integrating healthcare data from various sources.
- Design and build complex data pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to machine learning systems for inference.
- Integrate with Electronic Health Record (EHR) systems using industry-standard protocols such as FHIR and HL7.
- Develop robust systems to ingest, track, and update clinical events in real-time, ensuring high-quality, structured data for downstream ML systems.
- Establish observability, monitoring, and error handling for optimal pipeline performance.
- Collaborate closely with Machine Learning engineers to align data flows with model requirements.
- 5+ years of experience building and maintaining production-grade data pipelines.
- Strong understanding of workflow orchestration and event-driven systems.
- Proficiency in relational databases and SQL programming.
- Experience operating in cloud environments and working with distributed, highly available systems.
- Track record of delivering data infrastructure that supports ML or analytics applications.
- Excellent communication and collaboration skills.
- Knowledge of HIPAA and healthcare data security/privacy regulations.
- Familiarity with FHIR/HL7 data modeling in production settings.
- Experience supporting machine learning inference pipelines in real-world applications.
- Expertise in image data processing.
- Exposure to vector databases, embedding stores, or document retrieval systems.
