Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. This position offers a hybrid work option up to 50% remote and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: This position is responsible for the development, enhancement and effective operations of complex data movement between various systems using ETL methodologies. Responsible for leading company database development efforts and coordinating with business users, consultants/contractors, vendors and internal team members to maximize the usage and value of company data assets. In many cases ETL processes are used to extract data from source systems, transform and enrich the data, and load it into the Data Warehouse. A typical day: ELT/ETL Development Designs, builds, deploys, and maintains data integration solutions using Microsoft Fabric, including Data Factory pipelines, Dataflows Gen2, notebooks, Lakehouses, Warehouses, and SQL Server Integration Services (SSIS) where applicable. Develops, maintains, and administers data platform databases, Lakehouses, Warehouses, and related data integration components. Functions as a primary contributor in designing, coding, testing, and debugging ETL/ELT pipelines and processes to create reliable, seamless data flows across source systems and the enterprise data platform. Supports the overall strategy for Microsoft Fabric, data warehouse, Lakehouse, and database development, including adoption of scalable and reusable data integration patterns. Monitors, troubleshoots, and analyzes pipeline failures, data anomalies, inconsistencies, and other data integration issues identified through monitoring, technical team members, and end users. Creates automated, repeatable, and stable processes for data ingestion, transformation, validation, synchronization, and publishing across the data platform. Develops database and data integration requirements for data migrations, business-unit initiatives, and SQL Server/Fabric projects using SQL, PySpark, notebooks, pipelines, and other appropriate technologies. Identifies and resolves data integrity, quality, and reconciliation issues between source systems, Lakehouses, data warehouses, and downstream reporting or application consumers. Applies data engineering best practices for security, performance, documentation, source control, testing, and deployment across Microsoft Fabric environments. Consumption Views Supports reporting, analytics, and application users by designing and creating secure, performant consumption views and curated data products in Microsoft Fabric Lakehouses and Warehouses. Creates logical relationships across source systems, Lakehouses, Warehouses, and enterprise data models to provide consistent, trusted data for reporting and analytics. Develops and maintains SQL views, semantic-model-ready datasets, and reusable data structures using SQL and Microsoft Fabric tools. Partners with reporting, analytics, and business teams to define common calculations, data definitions, and access requirements. Database Administration Supports overall strategy related to database and data warehouse development. Actively participates with the Business Technology department in preparing and implementing backup and disaster recovery procedures and processes for mission critical databases. Contributes to data dictionaries and database diagrams for complex in-house databases. Provides on-call support for problem resolution of database related issues.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree