Data Engineer - NO C2C

• • We are NOT accepting resumes from third party vendors, please do no not inquire • • • • This is a local position and there is no relocation provided. • • Position Summary The organization is a Data Engineer an enterprise data platform modernization initiative focused on migrating from on-premises infrastructure to Microsoft Azure. These roles will report functionally to the Lead Data Engineer and will play a critical role in executing the migration strategy, modernizing legacy data processes, and building scalable, cloud-based data solutions. The foundational Azure infrastructure has been established. The current phase of the initiative is centered on retooling existing assets, connecting legacy objects, and delivering production-ready data pipelines within a modern Azure ecosystem. Essential Responsibilities • Collaborate with the Lead Data Engineer to execute the migration of on-premises SQL Server environments to Microsoft Azure • Design, develop, test, and deploy scalable data pipelines and data integration solutions within the Azure ecosystem • Implement solutions leveraging Microsoft Fabric as the preferred platform, or comparable Azure-native services when appropriate • Work with Azure Data Lake, Databricks, Azure Data Factory, Synapse, and related services as required • Refactor, support, and maintain existing SSIS packages during the transition period • Migrate and validate legacy data objects, ensuring data integrity and performance optimization • Develop and optimize SQL and Python-based data transformation processes • Support CI/CD deployment pipelines using Azure DevOps and related tooling • Contribute to data architecture discussions, documentation, and best practice development • Participate in hybrid collaboration, working onsite two days per week with the engineering team Technical Environment Preferred Platform • Microsoft Fabric Additional Technologies • Azure Data Lake • Azure Synapse Analytics • Azure Data Factory • Azure Databricks • Azure Virtual Machines • Azure DevOps and CI/CD pipelines • SQL Server • SSRS • SSIS • Python Qualifications • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline, or equivalent professional experience • Proven experience as a Data Engineer in Microsoft-centric environments • Hands-on experience with Azure data services and cloud migration initiatives • Strong proficiency in SQL and Python • Experience modernizing or supporting SSIS packages in legacy-to-cloud transitions • Familiarity with DevOps practices and CI/CD frameworks • Strong analytical, problem-solving, and collaboration skills