We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies.<br><br>Responsibilities:<br>• Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making.<br>• Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL.<br>• Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems.<br>• Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs.<br>• Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency.<br>• Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions.<br>• Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption.<br>• Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.

• Proven experience in a Data Engineer role working with enterprise data platforms and analytics environments.<br>• Strong hands-on expertise with SQL Server, Azure SQL Database, and T-SQL development.<br>• Experience designing, maintaining, and troubleshooting SSIS packages and data integration workflows.<br>• Proficiency in supporting Power BI reporting environments and preparing data for scalable visualization solutions.<br>• Solid understanding of database optimization, performance tuning, and data reliability practices.<br>• Ability to manage multiple priorities and collaborate effectively with cross-functional teams.<br>• Strong problem-solving skills with attention to detail in data validation, documentation, and system support.

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