Senior Data Platform & Healthcare AI Analytics Engineer

Senior Data Platform & Healthcare AI Analytics Engineer

Location: Remote

Compensation: negotiable

Position Overview

We are seeking a Senior Data Platform & Healthcare AI Analytics Engineer to architect, build, and evolve an AI-augmented healthcare data and analytics ecosystem.

This is a high-impact full-stack data platform role for a technical builder who understands that behind every data point is a patient. Responsible for designing the pipelines, platforms, and analytics models that transform fragmented healthcare data into a scalable intelligence layer supporting analytics, operational decision-making, and AI-driven insights.

Creating an AI-first architecture leveraging Microsoft Fabric, Azure AI Services, third-party AI tools, (ChatGPT, Claude), Azure Synapse, Azure Data Factory, Azure SQL, and Power BI, this role will integrate clinical, financial, and operational data sources to create a unified Healthcare Intelligence platform. The platform will support improved patient outcomes, operational efficiency, revenue cycle performance, and compliance with HIPAA and healthcare regulatory standards.

Beyond building infrastructure, this role is expected to enable business insights for the performance deep analytical work to identify trends, inefficiencies, and revenue opportunities, translating complex healthcare data into actionable insights that improve how the organization delivers care.

Core Responsibilities

Data Platform Architecture & Engineering

• Architect and operate the organization’s Azure / Microsoft Fabric healthcare data platform
• Design scalable ETL/ELT pipelines integrating EMR/EHR systems via HL7, FHIR APIs, and direct integrations
• Design and develop secure, scalable EMR interface APIs enabling bi-directional interoperability between Microsoft Dynamics 365 Health Cloud and partner EMRs, supporting clinical workflows (orders, documentation, patient context, care coordination) using HL7, FHIR, and modern API-based integration patterns.
• Build, extend and maintain the lakehouse and warehouse environments using Microsoft Fabric, Azure Synapse, and Azure Data Lake
• Integrate healthcare data from EMRs, revenue cycle systems, telehealth platforms, scheduling systems, and external healthcare datasets
• Ensure reliability, scalability, and performance of the enterprise data platform

Analytics Platform & Power BI Architecture

• Design and manage the Power BI analytics platform, including governance, workspaces, and enterprise datasets
• Build Power BI semantic models, reusable datasets, and reporting frameworks
• Deliver executive and operational dashboards supporting clinical, operational, and financial leaders
• Enable self-service analytics across the organization

Healthcare Analytics & Business Intelligence

Analyze healthcare data to generate insights across core operational domains, including:

• provider productivity and utilization
• patient access and scheduling performance
• encounter lifecycle and clinical workflow efficiency
• revenue cycle and claims performance
• payer reimbursement and financial trends

Translate complex healthcare datasets into clear insights that improve patient outcomes, operational performance, and financial sustainability.

AI-Enabled Healthcare Analytics

Design and implement the data foundation for AI-driven healthcare analytics, including:

• predictive models for patient no-shows, provider capacity, and care demand
• analytics to detect claims denials and revenue leakage
• AI-assisted analytics using Azure Machine Learning, Fabric AI capabilities, and Azure OpenAI
• enabling predictive and AI-driven insights within Power BI and analytics platforms

The goal is to move the organization from reactive reporting to predictive and intelligent analytics.

Technology Stack

This role will architect and operate the organization’s healthcare data and AI platform built on:

Data Platform

• Microsoft Fabric
• Azure Synapse
• Azure Data Factory
• Azure SQL
• Azure Data Lake

API & Integration Architecture

• RESTful APIs / JSON / OAuth 2.0
• GraphQL (optional but valuable)
• Azure API Management
• Azure Functions / serverless
• Event-driven architecture (Event Hub, Service Bus)

Analytics

• Power BI
• Semantic data models
• DAX and enterprise reporting frameworks
• Agentic AI Tools

Engineering / Development Stack

• SQL / T-SQL
• Python
• Spark / PySpark
• ETL / ELT pipelines
• C# /.Net
• Azure DevOps / Github Actions
• Postman / Swagger / OpenAPI

AI / Machine Learning & Agentic AI

• Azure Machine Learning
• Microsoft Fabric AI capabilities
• Azure OpenAI
• Python ML frameworks
• Healthcare AI (ChatGPT, Claude for Healthcare)
• Agentic AI (LLM integration, RAG (Retrieval-Augmented Generation, Prompt engineering, multi-agent systems / workflow orchestration

Healthcare Interoperability

• Microsoft Dynamics 365 – Dataverse / Microsoft Cloud for Healthcare
• HL7 (Especially ORM, OPRU, ADT, and MDM)
• FHIR APIs
• CCD / Clinical document exchange
• EMR/EHR integrations (e.g., Epic, Meditech, Cerner, Athena, and a multitude of Behavioral Health EMRs)

Governance, Security & Compliance

• Implement and maintain HIPAA-compliant data architecture protecting Protected Health Information (PHI).
• Deploy security practices including row-level security (RLS), data masking, encryption, and role-based access controls.
• Establish data quality monitoring and validation frameworks to ensure reliable clinical and operational reporting.
• Maintain detailed data lineage, documentation, and audit trails to support regulatory reporting (MIPS, MACRA, CMS quality programs).

Qualifications

• 7+ years’ experience in Data Engineering, Analytics Engineering, or Data Platform roles
• 3+ years’ experience working with healthcare data, including EMR/EHR and/or revenue cycle datasets
• Advanced expertise with the Microsoft Azure data platform, including:
• • Azure Synapse
  • Azure SQL
  • Azure Data Factory
  • Microsoft Fabric
• Proven experience building enterprise Power BI platforms, including semantic models, datasets, governance, and dashboards
• Advanced proficiency in SQL (T-SQL) and experience with Python or Spark for data engineering, transformation, and analytics
• Strong experience designing scalable data pipelines and data models supporting AI, machine learning, and advanced analytics workloads
• Experience enabling AI-driven analytics, including preparation of datasets for predictive modeling and integration of AI insights into reporting platforms
• Experience designing or supporting API-driven and event-based architectures, including REST APIs and modern integration patterns
• Experience working with healthcare interoperability standards, including:
• • HL7
  • FHIR APIs
• Ability to design systems supporting clinical workflows and data exchange across EMR systems
• Strong analytical mindset with ability to generate operational and financial insights from healthcare data
• Deep understanding of HIPAA, HITECH, and PHI data protection requirements
• Experience with behavioral health, telehealth, or outpatient healthcare organizations
• Experience designing and implementing bi-directional EMR integrations, including API-based interoperability between platforms such as Microsoft Dynamics 365 Health Cloud and partner EMRs
• Experience with healthcare data models, including OMOP or similar frameworks
• Experience building predictive analytics or AI-driven healthcare models (e.g., access, utilization, RCM optimization)
• Experience with agentic AI systems, including:
• • AI orchestration frameworks
  • LLM integration (Azure OpenAI, ChatGPT, Claude)
  • Retrieval-Augmented Generation (RAG)
  • AI-driven workflow automation
• Experience integrating AI capabilities into analytics platforms (e.g., AI-assisted dashboards, automated insights)
• Experience supporting Revenue Cycle Management (RCM) analytics, including:
• • claims lifecycle
  • denial management
  • reimbursement optimization
• Experience analyzing payer mix, reimbursement trends, and claims data
• Experience with Azure Machine Learning or similar ML platforms
• Microsoft certifications such as:
• • Azure Data Engineer Associate
  • Power BI Data Analyst Associate

Benefits:

• Full health and wellness (Medical, Dental, Vision)
• Flexible spending account
• 401K with 4% match
• Company paid life insurance
• Voluntary life/AD&D, short/Long term disability
• Positive work environment/culture
• Company paid holidays
• PTO