
Building Scalable Clinical Data Pipelines
1 day ago
About the Role
We're seeking a highly experienced Senior Data Engineer to lead the design and operation of our AI-powered applications' backbone. This critical role involves creating scalable pipelines that process clinical data, retrieve medical documents, and deliver validated information to machine learning systems.
- Design and operate event-driven data pipelines supporting real-time clinical workflows.
- Integrate with EHR/EMR systems using standards like FHIR and HL7.
- Develop reliable systems to ingest, track, and update clinical events in real-time.
- Ensure downstream ML systems receive high-quality, structured data for inference and decision support.
- Establish observability, monitoring, and error handling for robust pipeline performance.
- Collaborate with ML engineers to align data flows with model needs.
- Continuously improve pipeline design to maximize scalability, resilience, and automation.
Key Requirements
- 5+ years of experience building production-grade data pipelines.
- Strong background in workflow orchestration and event-driven systems.
- Proficiency with relational databases and SQL.
- Experience operating in cloud environments and working with distributed systems.
- Track record of delivering data infrastructure supporting ML or analytics applications.
- Excellent communication and collaboration skills.
Bonus Skills
- Knowledge of HIPAA and healthcare data security/privacy requirements.
- Familiarity with FHIR/HL7 data modeling in production settings.
- Experience supporting machine learning inference pipelines in real-world applications.
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