Data Integration Engineer with Gen AI

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract W2
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Data Engineering
  • Data Integration
  • Databricks
  • Generative Artificial Intelligence (AI)
  • Health Care
  • HL7
  • ICD-10
  • LIMS
  • Microsoft Azure
  • Python
  • SQL Azure
  • Analytics
  • Data Quality
  • Terraform
  • PySpark
  • PACS
  • Extract, Transform, Load
  • Epic
  • Cloud Computing
  • GitHub
  • Clarity

Summary

Position - Data Integration Engineer

Location - Remote Role

Type - Contract Only on W2


We''re building AI infrastructure for healthcare — and we need a data engineer who loves turning messy, complex healthcare data into reliable, production-grade pipelines.


What You''ll Do

  • Design and build ETL pipelines (PySpark, SQL, Azure) to process data from Epic, LIMS, PACS, and other healthcare systems
  • Develop data quality validation frameworks and troubleshoot schema, transformation, and performance issues
  • Build reusable integration components that speed up future implementations
  • Collaborate with a Data Integration Manager to turn partner requirements into technical solutions

What You Bring

  • 5+ years in data engineering or analytics with strong ETL experience
  • Proficiency in PySpark and advanced SQL
  • Hands-on experience with healthcare data (EHR, claims, clinical, lab)
  • Familiarity with Azure Databricks, Data Factory, or similar cloud platforms
  • Knowledge of healthcare standards (FHIR, HL7v2, LOINC, ICD-10) is a plus
  • Epic Clarity experience is a strong plus

Tech Stack Azure Databricks · PySpark · Data Factory · GitHub Actions · Terraform · FHIR · Python

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91166803
  • Position Id: 8944629
  • Posted 4 hours ago
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