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# Data, Analytics, & Integration Engineer

- **Company:** MirLogic Solutions Corporation
- **Location:** Alexandria, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Data Analysis, Microsoft Azure, Information Systems, Information Engineering, Data Integration, Database Queries, Decision Support Systems, Python (Programming Language), Microsoft SQL Server, Power BI, Microsoft SharePoint, SQL Databases, Enterprise Data Management, Enterprise Software Applications, Azure Data Factory, Powerquery, Data Layers, Microsoft Fabric, Information Technology, Data Analytics, Performance Monitor, Azure Synapse Analytics
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bf247efdc31dc4ea

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Data Analytics, Information Technology, or a related field (preferred).
 * Five (5)+ years of experience in business intelligence, data analytics, or data engineering.
 * Four (4)+ years of Microsoft Power BI development.
 * Experience designing enterprise reporting solutions, dashboards, and data models.
 * Experience integrating data from Microsoft 365, SharePoint, SQL Server, or similar enterprise platforms.

Required Technical Skills:

 * Microsoft Power BI, Power Query, and DAX.
 * SQL querying and enterprise data modeling.
 * Microsoft 365 and SharePoint data integration.
 * Azure data services and API integration concepts.
 * Data quality management and KPI development.
 * Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications:

 * Experience with Microsoft Fabric, Azure Synapse, or Azure Data Factory.
 * Experience with Power Platform, Python, or R.
 * Experience implementing Power BI Row-Level Security (RLS).
 * Microsoft Power BI, Azure, Fabric, SQL, or related analytics certifications.

## Description

* Design, develop, and maintain Power BI dashboards and reports supporting executive, operational, and store-level reporting.
 * Build and maintain enterprise data models, semantic layers, and DAX measures to deliver meaningful business insights and KPIs.
 * Transform, integrate, and validate data from Microsoft 365, SharePoint, SQL Server, Azure, and other enterprise systems.
 * Develop reporting processes, data quality standards, and dashboard performance monitoring.
 * Collaborate with application developers and business stakeholders to define reporting requirements and support data-driven decision making.
 * Recommend improvements to reporting architecture, analytics, and overall data quality.


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