Senior Data Engineering Position

4 days ago

Aurangabad, Maharashtra, India beBeeData Full time US$ 1,25,000 - US$ 1,75,000
About the Role

We seek a seasoned data engineer with expertise in designing and operating scalable data pipelines for real-time clinical workflows. This critical role will create event-driven pipelines to process clinical encounter data, retrieve associated medical documents, and deliver validated information to machine learning systems.

Key Responsibilities:

  • Design scalable data pipelines for high-performance clinical workflows.
  • Integrate electronic health record (EHR) systems using standards like FHIR and HL7.
  • Develop reliable systems for ingesting, tracking, and updating 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 for maximum 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 as well as handling unstructured data.
  • 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 Requirements:
  • 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.
  • Expertise with image data.
  • Exposure to vector databases or document retrieval systems.
  • Background in healthcare IT, clinical workflows, or health data analytics.

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