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Senior Consultant - Data Engineer
Job Description & How to Apply Below
Responsibilities
- Design and implement Fabric Lakehouse architecture optimized for AI training and healthcare reporting
- Develop scalable data models for large-scale patient data ingestion
- Perform advanced data extraction from Epic Clarity to build longitudinal patient records
- Build and manage automated pipelines using Microsoft Fabric Data Factory
- Ensure continuous refresh of AI training datasets to prevent data drift
- Enforce data governance, lineage, and auditability within Fabric
- Implement role-based access control (RBAC) and PHI-safe data handling
- 8+ years of experience in Data Engineering in healthcare, life sciences, or regulated industries
- Strong hands-on experience with Epic Clarity
- Deep expertise in Microsoft Fabric (Lakehouse, Fabric Data Factory, One Lake)
- Strong SQL and data modeling skills for healthcare datasets
- Experience building AI-ready data pipelines for ML training and validation
- Knowledge of HIPAA compliance and PHI handling
- Experience supporting clinical, claims, or EHR analytics
- Exposure to AI/ML workflows in healthcare
- Knowledge of FHIR, HL7, or OMOP models
Position Requirements
10+ Years
work experience
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