Job Title: Senior Data Platform & Healthcare AI Analytics Engineer

Company Name: MindCare Solutions

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/ubmb8xghp8vh18gf

Job Description: Posted 2d agoSenior Data Platform & Healthcare AI Analytics Engineer@ MindCare SolutionsView All JobsWebsiteNashville or United StatesRemoteFull TimeResponsibilities:Architect platform, Design pipelines, Develop APIsRequirements Summary:7+ years in data engineering/analytics; 3+ years healthcare data; advanced Azure data platform skills; experience with HL7/FHIR and EMR integrations.Technical Tools Mentioned:Azure Synapse, Azure Data Factory, Azure SQL, Microsoft Fabric, Power BI, HL7, FHIR, HL7 FHIR, Microsoft Dynamics 365 Health Cloud, EMR Integrations, Python, SQL, Spark/PySpark, DevOps, Postman/OpenAPI
Senior Data Platform & Healthcare AI Analytics EngineerLocation: RemoteCompensation: negotiablePosition OverviewWe 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 ResponsibilitiesData Platform Architecture & EngineeringArchitect and operate the organization’s Azure / Microsoft Fabric healthcare data platformDesign scalable ETL/ELT pipelines integrating EMR/EHR systems via HL7, FHIR APIs, and direct integrationsDesign 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 LakeIntegrate healthcare data from EMRs, revenue cycle systems, telehealth platforms, scheduling systems, and external healthcare datasetsEnsure reliability, scalability, and performance of the enterprise data platformAnalytics Platform & Power BI Architecture Design and manage the Power BI analytics platform, including governance, workspaces, and enterprise datasetsBuild Power BI semantic models, reusable datasets, and reporting frameworksDeliver executive and operational dashboards supporting clinical, operational, and financial leadersEnable self-service analytics across the organizationHealthcare Analytics & Business IntelligenceAnalyze healthcare data to generate insights across core operational domains, including:provider productivity and utilizationpatient access and scheduling performanceencounter lifecycle and clinical workflow efficiencyrevenue cycle and claims performancepayer reimbursement and financial trendsTranslate complex healthcare datasets into clear insights that improve patient outcomes, operational performance, and financial sustainability.AI-Enabled Healthcare AnalyticsDesign 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 leakageAI-assisted analytics using Azure Machine Learning, Fabric AI capabilities, and Azure OpenAIenabling predictive and AI-driven insights within Power BI and analytics platformsThe goal is to move the organization from reactive reporting to predictive and intelligent analytics.Technology StackThis role will architect and operate the organization’s healthcare data and AI platform built on:Data PlatformMicrosoft FabricAzure SynapseAzure Data FactoryAzure SQLAzure Data LakeAPI & Integration ArchitectureRESTful APIs / JSON / OAuth 2.0GraphQL (optional but valuable)Azure API ManagementAzure Functions / serverlessEvent-driven architecture (Event Hub, Service Bus)AnalyticsPower BISemantic data modelsDAX and enterprise reporting frameworksAgentic AI ToolsEngineering / Development StackSQL / T-SQLPythonSpark / PySparkETL / ELT pipelinesC# /.NetAzure DevOps / Github ActionsPostman / Swagger / OpenAPIAI / Machine Learning & Agentic AIAzure Machine LearningMicrosoft Fabric AI capabilitiesAzure OpenAIPython ML frameworksHealthcare AI (ChatGPT, Claude for Healthcare)Agentic AI (LLM integration, RAG (Retrieval-Augmented Generation, Prompt engineering, multi-agent systems / workflow orchestrationHealthcare InteroperabilityMicrosoft Dynamics 365 – Dataverse / Microsoft Cloud for HealthcareHL7 (Especially ORM, OPRU, ADT, and MDM)FHIR APIsCCD / Clinical document exchangeEMR/EHR integrations (e.g., Epic, Meditech, Cerner, Athena, and a multitude of Behavioral Health EMRs)Governance, Security & ComplianceImplement 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).Qualifications7+ years’ experience in Data Engineering, Analytics Engineering, or Data Platform roles3+ years’ experience working with healthcare data, including EMR/EHR and/or revenue cycle datasetsAdvanced expertise with the Microsoft Azure data platform, including: Azure SynapseAzure SQLAzure Data FactoryMicrosoft FabricProven experience building enterprise Power BI platforms, including semantic models, datasets, governance, and dashboardsAdvanced proficiency in SQL (T-SQL) and experience with Python or Spark for data engineering, transformation, and analyticsStrong experience designing scalable data pipelines and data models supporting AI, machine learning, and advanced analytics workloadsExperience enabling AI-driven analytics, including preparation of datasets for predictive modeling and integration of AI insights into reporting platformsExperience designing or supporting API-driven and event-based architectures, including REST APIs and modern integration patternsExperience working with healthcare interoperability standards, including: HL7FHIR APIsAbility to design systems supporting clinical workflows and data exchange across EMR systemsStrong analytical mindset with ability to generate operational and financial insights from healthcare dataDeep understanding of HIPAA, HITECH, and PHI data protection requirementsExperience with behavioral health, telehealth, or outpatient healthcare organizationsExperience designing and implementing bi-directional EMR integrations, including API-based interoperability between platforms such as Microsoft Dynamics 365 Health Cloud and partner EMRsExperience with healthcare data models, including OMOP or similar frameworksExperience 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 automationExperience integrating AI capabilities into analytics platforms (e.g., AI-assisted dashboards, automated insights)Experience supporting Revenue Cycle Management (RCM) analytics, including:claims lifecycle denial managementreimbursement optimizationExperience analyzing payer mix, reimbursement trends, and claims dataExperience with Azure Machine Learning or similar ML platformsMicrosoft certifications such as:Azure Data Engineer AssociatePower BI Data Analyst AssociateBenefits:Full health and wellness (Medical, Dental, Vision) Flexible spending account401K with 4% matchCompany paid life insuranceVoluntary life/AD&D, short/Long term disabilityPositive work environment/cultureCompany paid holidays PTO