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15 hours ago
We are seeking a Senior Data Engineer to build scalable data pipelines and integrate healthcare data.
This role is critical to creating high-quality, structured data for machine learning systems. You will collaborate closely with software engineers, ML specialists, and clinical partners to design, build, and operate AI-powered applications.
- Design, build, and operate event-driven data pipelines that support real-time clinical workflows.
- Integrate with electronic health record systems using standards such as 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.
- 5+ years of experience building production-grade data pipelines.
- Strong background in workflow orchestration and event-driven systems.
- Proficiency with relational databases and SQL, as well as handling unstructured data.
- 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 requirements.
- Familiarity with FHIR/HL7 data modeling in production settings.
- Experience supporting machine learning inference pipelines in real-world applications.
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