Position Details

Type Full-Time

Experience senior

Exp. Years 7+ years

Education Not specified

Category Data & Analytics

About this role

Senior Data Platform & Healthcare AI Analytics Engineer to architect and operate a Microsoft Fabric-based healthcare data platform, design scalable ETL/ELT pipelines, and deliver AI-enabled analytics with Power BI. You will integrate EMR/EHR data using HL7/FHIR, ensure HIPAA compliance, and enable predictive analytics and AI-driven insights.

Key Responsibilities

Architect and operate Azure/Microsoft Fabric healthcare data platform
Design scalable ETL/ELT pipelines with HL7/FHIR
Build EMR interface APIs with Dynamics 365 Health Cloud
Manage Power BI governance and enterprise datasets
Deliver AI-driven analytics and predictive models

Technical Overview

Stack includes Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure SQL, Power BI, HL7/FHIR interoperability, EMR/EHR integrations, Azure Machine Learning, Azure OpenAI, RAG, and API management. Strong SQL/T-SQL, Python or Spark, and data governance are essential.

Ideal Candidate

The ideal candidate is a senior data platform engineer with 7+ years in data engineering and healthcare analytics, deep expertise in Microsoft Azure data services, and a proven track record building enterprise Power BI platforms and EMR/EHR integrations. They excel at designing scalable pipelines, HL7/FHIR interoperability, and AI-enabled analytics within HIPAA-compliant environments.

Must-Have Skills

7+ years data engineering / analytics engineering / data platform3+ years healthcare data (EMR/EHR or revenue cycle)Advanced expertise with Microsoft Azure data platform (Azure SynapseAzure SQLAzure Data FactoryMicrosoft Fabric)Enterprise Power BI platform experience (governancedatasetsdashboards)Advanced SQL (T-SQL) and Python or SparkExperience designing scalable data pipelines and data models for AI/MLBi-directional EMR integrations and HL7/FHIR interoperabilityHIPAA/PHI governance and data protection

Nice-to-Have Skills

Experience with AI/Agentic AI systems (LLM integrationRAGAI-driven workflows)Experience with OMOP or similar healthcare data modelsAzure Machine LearningFabric AI capabilitiesMicrosoft Dynamics 365 Health Cloud integrationBI governance and enterprise data governance

Tools & Platforms

Microsoft FabricAzure SynapseAzure Data FactoryAzure SQLPower BIHL7FHIR APIsMicrosoft Dynamics 365 – Dataverse / Microsoft Cloud for HealthcareHL7 ORM / OPRU / ADT / MDMAzure OpenAIAzure Machine LearningRAGAzure API ManagementAzure Functions / serverless

Required Skills

7+ years data engineering/analytics engineering/ data platform; 3+ years healthcare data; Azure Synapse; Azure SQL; Azure Data Factory; Microsoft Fabric; Power BI governance; HL7/FHIR interoperability; EMR/EHR integrations; HIPAA/PHI; Python/Spark; OMOP

Hard Skills

Microsoft FabricAzure SynapseAzure Data FactoryAzure SQLPower BIHL7FHIR APIsEMR/EHR integrationsCRM integration (Dynamics 365 Health Cloud)HL7 ORM / OPRU / ADT / MDMETL/ELT pipelinesAPI development (REST/ GraphQL Optional)OAuth 2.0Data governance and HIPAA compliancePythonSpark / PySparkC# / .NETSQL / T-SQLMicrosoft Fabric AI capabilitiesAzure Machine LearningAzure OpenAIRetrieval-Augmented Generation (RAG)Data Lake

Soft Skills

analytical mindsetcommunicationleadershipcollaborationproblem solvingattention to detail

Certifications

Required

Azure Data Engineer AssociatePower BI Data Analyst Associate

Industry & Role

Industry Healthcare & Medical

Job Function Design and operate a healthcare data and AI analytics platform to drive clinical, operational, and financial insights

Role Subtype Data Engineer

Tech Domains Azure, Power BI, HL7, FHIR APIs, SQL / PostgreSQL, Python, Spark / PySpark, C# / .NET, Windows Server, Microsoft Fabric

Keywords for Your Resume

Senior Data Platform & Healthcare AI Analytics EngineerAzure SynapseMicrosoft FabricAzure Data FactoryAzure SQLPower BIHL7FHIR APIsEMR/EHRPHIOmopHIPAAAzure Machine LearningAzure OpenAIRAGAgentic AIDynamics 365 Health CloudFHIRPython

Deal Breakers

No healthcare data experience, Inexperience with Azure data stack, No HL7/FHIR interoperability experience

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