Design, develop, and maintain end-to-end Azure data pipelines using Microsoft Fabric and Azure Data Factory
Build and optimize Azure SQL databases, Synapse data warehouses, and analytics models for healthcare programs
Implement ETL/ELT processes, data ingestion, transformation, and cleansing to support business and clinical analytics
Develop interactive dashboards and reports using Power BI for operational, clinical, and executive stakeholders
Ensure data quality, integrity, and security across all pipelines and storage systems
Collaborate with architects, developers, and business stakeholders to translate requirements into scalable, performant data solutions
Maintain documentation for data models, pipelines, governance, and compliance processes
Implement data governance, access control, and monitoring in alignment with FedRAMP, HIPAA, and FISMA
Evaluate emerging Azure data services and recommend solutions to improve data processing, analytics, and reporting capabilities

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field
5+ years of experience as a data engineer or analytics engineer, preferably in federal healthcare or regulated environments
Ability to obtain and maintain a Public Trust
Hands-on experience with Microsoft Fabric (Data Pipelines, Warehouse, Fabric Studio)
Azure SQL / Synapse Analytics / Data Warehouse design
Power BI (data modeling, dashboards, visualization)
Azure Data Factory for ETL/ELT orchestration
Strong understanding of data governance, security, and compliance (FedRAMP, HIPAA, FISMA)
Experience with data modeling, dimensional design, and performance tuning

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

Azure data pipelinesMicrosoft FabricAzure Data FactoryAzure SQLSynapse AnalyticsETLELTPower BIdata modelingperformance tuning

Soft Skills

collaborationcommunicationdocumentationproblem-solvinganalytical thinking

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Data Engineering