Senior Data Engineer, Information Technology

What You'll Do

• Data Platform & Engineering Design, build, test, deploy, and maintain scalable, secure, and reliable data pipelines and integrations
• Develop and maintain ETL/ELT processes for structured and semi-structured data, including orchestration and documentation
• Ingest, transform, and integrate structured and unstructured data into centralized data platforms (warehouse/lakehouse)
• Build reusable code and automation to streamline data processing and management
• Cloud Modernization & Architecture
• Lead and support migration of on-prem SQL Server workloads to Azure/Microsoft Fabric
• Participate in data architecture decisions, standards, and platform/tool selection
• Maintain and optimize performance, reliability, and monitoring across cloud and hybrid environments
• Analytics, Reporting & Business Support
• Develop and support data solutions that enable analytics, reporting, and business operations
• Produce dashboards and reports; communicate insights to stakeholders
• Serve as a subject matter expert, partnering with IT and business teams to solve key data challenges

What You'll Gain

• Opportunity to lead enterprise-level cloud and data modernization initiatives
• Hands-on experience with cutting-edge tools (Azure Fabric, Power BI, AI-enabled analytics)
• Collaboration with cross-functional teams across IT and business functions
• Ability to influence data strategy, governance, and platform direction
• Career growth within a stable, impact-driven organization

Requirements

• Bachelor’s degree in Engineering, Computer Science, or related field required; advanced degree preferred
• 7+ years of experience in data engineering or development with increasing responsibility
• Proven experience building and evolving data platforms and supporting business decision-making
• Industry experience in Real Estate, Financial Services, Banking, or FinTech preferred
• Technical Expertise
• Azure Data Platform: SQL Server Managed Instance, Azure SQL Database, Azure Synapse, Dataverse, Microsoft Fabric (OneLake, Fabric Warehouse, Data Factory)
• Data Integration: Azure Data Factory, Microsoft Fabric
• Analytics & Reporting: Power BI, Power Query, DAX
• Business Applications: Microsoft 365 (O365, SharePoint, OneDrive), VSTO/C# .NET Add-ins
• Development & DevOps: GitHub, CI/CD pipelines, Visual Studio, Power BI Deployment Pipelines, Monday.com