Senior Data Platform & reputed company AI Analytics Engineer

Remote, USA Full-time Posted 2026-07-28

Senior Data Platform & reputed company AI Analytics Engineer

Location: Remote

Compensation: negotiable

Position reputed company

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

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

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

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

reputed company Responsibilities

Data Platform Architecture & Engineering

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

Analytics Platform & Power BI Architecture

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

reputed company Analytics & Business Intelligence

Analyze reputed company data to generate insights across reputed company operational domains, including:

provider productivity and utilization
patient reputed company and scheduling performance
encounter lifecycle and clinical workflow efficiency
reputed company cycle and claims performance
payer reimbursement and financial trends

Translate reputed company reputed company datasets into reputed company insights that improve patient reputed company, operational performance, and financial sustainability.

AI-Enabled reputed company Analytics

Design and implement the data reputed company for AI-driven reputed company analytics, including:

predictive models for patient no-shows, provider reputed company, and care demand
analytics to detect claims denials and reputed company leakage
AI-assisted analytics using Azure Machine Learning, reputed company AI capabilities, and Azure reputed company
enabling predictive and AI-driven insights reputed company Power BI and analytics platforms

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

Technology Stack

This role will architect and operate the organization’s reputed company data and AI platform reputed company on:

Data Platform

reputed company reputed company
Azure Synapse
Azure Data reputed company
Azure SQL
Azure Data Lake

API & Integration Architecture

RESTful reputed company / 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 reputed company reporting frameworks
reputed company AI Tools

Engineering / Development Stack

SQL / T-SQL
Python
reputed company / PySpark
ETL / ELT pipelines
C# /.Net
Azure DevOps / reputed company Actions
reputed company / Swagger / OpenAPI

AI / Machine Learning & reputed company AI

Azure Machine Learning
reputed company reputed company AI capabilities
Azure reputed company
Python ML frameworks
reputed company AI (ChatGPT, Claude for reputed company)
reputed company AI (LLM integration, RAG (Retrieval-Augmented reputed company, reputed company engineering, multi-agent systems / workflow orchestration

reputed company Interoperability

reputed company Dynamics 365 – Dataverse / reputed company reputed company for reputed company
HL7 (Especially ORM, OPRU, reputed company, and MDM)
FHIR reputed company
CCD / Clinical document exchange
EMR/EHR integrations (e.g., reputed company, Meditech, Cerner, reputed company, and a multitude of Behavioral Health EMRs)

Governance, reputed company & Compliance

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

Qualifications

7+ years’ experience in Data Engineering, Analytics Engineering, or Data Platform roles
3+ years’ experience working with reputed company data, including EMR/EHR and/or reputed company cycle datasets
Advanced expertise with the reputed company Azure data platform, including:
- Azure Synapse
- Azure SQL
- Azure Data reputed company
- reputed company reputed company
Proven experience building reputed company Power BI platforms, including semantic models, datasets, governance, and dashboards
Advanced proficiency in SQL (T-SQL) and experience with Python or reputed company for data engineering, transformation, and analytics
Strong experience designing reputed company 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 reputed company and modern integration patterns
Experience working with reputed company interoperability standards, including:
- HL7
- FHIR reputed company
Ability to design systems supporting clinical workflows and data exchange across EMR systems
Strong analytical reputed company with ability to generate operational and financial insights from reputed company data
Deep understanding of HIPAA, HITECH, and PHI data protection requirements
Experience with behavioral health, telehealth, or outpatient reputed company organizations
Experience designing and implementing bi-directional EMR integrations, including API-based interoperability between platforms such as reputed company Dynamics 365 Health reputed company and partner EMRs
Experience with reputed company data models, including OMOP or similar frameworks
Experience building predictive analytics or AI-driven reputed company models (e.g., reputed company, utilization, RCM optimization)
Experience with reputed company AI systems, including:
- AI orchestration frameworks
- LLM integration (Azure reputed company, ChatGPT, Claude)
- Retrieval-Augmented reputed company (RAG)
- AI-driven workflow automation
Experience integrating AI capabilities into analytics platforms (e.g., AI-assisted dashboards, automated insights)
Experience supporting reputed company 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
reputed company certifications such as:
- Azure Data Engineer Associate
- Power BI Data Analyst Associate