Sr Data Engineer

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.

• Hybrid model - up to 50% work from home
• Flexible schedules including ample flexibility in the summer months
• Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match)
• Medical, dental, vision, HSA/FSA, life & AD&D insurance, short‑term and long‑term disability, wellness program & EAP
• Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off
• Learning and development programs
• Mentorship programs
• Cross‑functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.)
• Professional membership/certification reimbursement and more!

Casual/seasonal & intern team members are not eligible for benefits except for state‑mandated programs.

To learn more about Compeer Financial visit

This position offers a hybrid work option up to 50% remote and is based out of the Mankato, MN;
Lakeville, MN;
Bloomington, IL office.

This position is responsible for building advanced analytics tools that utilize the data pipeline to provide actionable, high‑impact insights for decision making. Delivers processed data to end‑users, including business intelligence analysts and business stakeholders who consume the data via interactive dashboards, reports and other tools. Works cross‑functionally to define analytical requirements, ensuring that data solutions effectively empower informed, data‑driven decision‑making across departments.

Serves as a subject matter expert, providing technical guidance and support to less tenured team members.

• Develop complex data models and data pipelines for research, reporting and machine learning.
• Conceptualize and generate infrastructure that allows data to be accessed and analyzed.
• Maintain and optimize the performance of the data User Interface layer to ensure accurate, reliable and timely delivery of key insights for decision making.
• Model data sources to help draw a more comprehensive picture of the data that enables powerful data analysis and reporting.
• Lead the development and execution of new concepts and proof of concept designs.
• Conduct research to answer business questions related to data and the data warehouse.
• Employ a variety of SQL languages to bring data from multiple systems together into the user interface layer.
• Generate automated, repeatable and stable processes to support business requests in the user interface layer.
• Proactively identify and resolve data integrity issues between the data warehouses and the original data sources.

• Stay current on trends and industry best practices, proactively incorporating new insights into the design, implementation and improvement of internal processes improvements.
• Drive the automation of manual processes and the optimization of data delivery and quality.
• Work cross‑functionally with Data and Business Technology teams to formulate best practices.
• Evaluate emerging tools, platforms and methodologies.
• Foster innovation and drive the adoption of new technologies that enhance team and operational effectiveness.
• Advance strategic initiatives by providing thought leadership and building alignment around long‑term data strategy.

• Facilitate meetings with Data, Project Delivery and/or business unit team members.
• Support and train other team members, acting as a subject matter expert for more complex technical issues and guiding less tenured team members on problem resolution.

• Bachelor's degree in math, computer science, management information systems, or related field or an equivalent…