Healthcare Data Engineering Expert

2 days ago

Hyderabad, Telangana, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000
Job Description

Accelyst is seeking a Data Engineer with expertise in healthcare data engineering to support AI/ML initiatives through advanced data preparation and management. This role involves cleaning, rationalizing, normalizing, and integrating large healthcare datasets to ensure readiness for AI-driven analytics and automation.

You will collaborate with data scientists, engineers, and AI teams to deliver high-quality, compliant data pipelines for predictive analytics, risk stratification, fraud detection, and other use cases.

Required Skills and Qualifications

Key Responsibilities:

  • Design, develop, test, and integrate data solutions to support automated workflows, bots, and AI Agents that span legacy platforms.
  • Clean and prepare large healthcare datasets (claims, member, provider, clinical data) to ensure readiness for AI-driven analytics and automation.
  • Collaborate with data scientists and AI/ML teams to align data preparation with project goals.
  • Implement automation and scripting for efficient data handling.
  • Maintain thorough documentation of data processes, transformations, and metadata.

Qualifications:

  • Strong experience in healthcare data engineering (claims, EHR, clinical datasets).
  • Proficiency in data cleaning, normalization, aggregation, and feature extraction.
  • Knowledge of healthcare standards and coding systems (ICD-10, CPT, SNOMED, HL7, FHIR).
  • Proficiency with SQL, Python, and automation frameworks for data workflows.
  • Hands-on experience integrating data from multiple healthcare systems and vendors.
Benefits

This role offers the opportunity to work on complex AI projects that challenge and inspire, meeting high client expectations. You will be part of a dynamic team that leverages AI-driven technology to make a positive impact.

Others

The ideal candidate will have excellent collaboration skills and ability to partner with AI/ML teams. Strong understanding of data governance, HIPAA compliance, and audit documentation is required.

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