Highly Skilled Data Infrastructure Specialist

5 hours ago

Kanpur, Uttar Pradesh, India beBeeData Full time US$ 1,50,000 - US$ 2,50,000
Senior Data Engineer Role

We are seeking a skilled Senior Data Engineer to join our team and play a critical role in designing, building, and operating the backbone of our AI-powered applications.

The successful candidate will be responsible for creating scalable pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference.

This is a challenging role where you will work closely with software engineers, ML specialists, and our clinical partners to bring our vision to life.

Key Responsibilities:

  • Design, build, and operate scalable, event-driven data pipelines that support real-time clinical workflows.
  • Integrate with EHR/EMR 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.

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, highly available systems.
  • Track record of delivering data infrastructure that supports ML or analytics applications.
  • Excellent communication and collaboration skills.

Bonus Qualifications:

  • 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, embedding stores, or document retrieval systems.
  • Background in healthcare IT, clinical workflows, or health data analytics.

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