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Highly Skilled Data Engineer

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Job Title

Data Engineering Expert

  • We are seeking a highly skilled Data Engineer to design, build, and operate scalable data pipelines.
About the Role:

This is a critical position where you will create event-driven data pipelines that process clinical encounter data.

You will work closely with software engineers, ML specialists, and clinical partners to bring our vision to life.

Key Responsibilities:
  • Design, build, and operate scalable, event-driven data pipelines.
  • Integrate with Electronic Health Record (EHR) systems using standards such as Fast Healthcare Interoperability Resources (FHIR) and Healthcare Information Technology Systems Professional Association (HL7).
  • Develop reliable systems to ingest, track, and update clinical events in real-time.
  • Ensure downstream Machine Learning (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.
Requirements:
  • 5+ years of experience building and maintaining 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, highly available systems.
  • Track record of delivering data infrastructure that supports ML or analytics applications.
  • Excellent communication and collaboration skills.
Bonus Requirements:
  • Knowledge of Health Insurance Portability and Accountability Act (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.