Expert Data Engineer for Scalable Pipeline Development
2 days ago
About the Role
We're seeking a senior data engineer with expertise in designing, building and operating scalable data pipelines. You'll report to the Head of AI and Engineering, working closely with software engineers, ML specialists, and clinical partners to deliver high-quality, structured data for real-time inference.
Responsibilities- Design and operate event-driven data pipelines that support clinical workflows.
- Integrate with EHR/EMR systems using standards like FHIR and HL7.
- Develop systems to ingest, track and update clinical events in real-time.
- Ensure downstream ML systems receive high-quality data.
- Establish observability, monitoring and error handling for robust pipeline performance.
- 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 unstructured data.
- Experience operating in cloud environments and distributed systems.
- Track record of delivering data infrastructure supporting ML applications.
- Excellent communication and collaboration skills.
- Knowledge of HIPAA and healthcare data security requirements.
- Familiarity with FHIR/HL7 data modeling.
- Experience supporting machine learning inference pipelines.
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