Data Engineer

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South Bend, IN is seeking a Data Engineer to play a critical role in building and optimizing a centralized enterprise data platform. This position is ideal for a hands‑on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high-performance data delivery across the enterprise. This is a highly visible role working closely with analytics, IT, and business stakeholders to support enterprise-wide reporting, operational intelligence, and long-term data strategy. What We’re Looking For Must-Have Skills Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.) Hands‑on experience with Databricks Strong proficiency in Python and Spark Experience developing and optimizing ETL/ELT pipelines Background working with legacy Microsoft tools such as SSIS and SSRS Deep understanding of data modeling, transformation logic, and pipeline architecture Experience consolidating data into centralized or cloud-based platforms Strong SQL skills Ability to troubleshoot performance issues and optimize large-scale datasets Strong communication skills and ability to collaborate cross‑functionally Nice-to-Have Experience supporting enterprise BI/reporting environments Exposure to ERP, operational, or transactional data systems Experience in manufacturing, agriculture, supply chain, or similar industries Familiarity with data governance and best practices Key Responsibilities Data Engineering & Platform Development Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark Migrate and modernize legacy SSIS/SSRS workflows into the centralized data platform Develop robust ETL/ELT processes to integrate data from multiple enterprise systems Data Architecture & Optimization Support the design of a unified enterprise data model Optimize data processing performance and reliability Ensure data quality, validation, and integrity across pipelines Collaboration & Strategy Partner with BI, analytics, and business teams to support enterprise reporting needs Contribute to data standards, governance, and architectural best practices Support the organization’s transition to a modern, centralized data ecosystem #J-18808-Ljbffr Creative Financial Staffing, LLC