Data Engineer (Hybrid)
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About The Position
Barr is seeking a Data Engineer to join our Minneapolis, Minnesota, team. In this hybrid role, you will support the Information Systems group, playing a key part in designing and maintaining reliable data pipelines, integrating with third-party systems and APIs, and contributing to the evolution of our ETL architecture across a variety of use cases. You'll collaborate with cross-functional teams, including data scientists and machine learning engineers, to align data strategies with AI objectives. A successful person in this role is curious and proactive about exploring new data technologies that support innovation in AI and analytics. They enjoy partnering with cross-functional teams and using their expertise to help define practical strategies that improve data quality, maintainability, and reliability while supporting the organization's growing needs around AI readiness and emerging technologies. This person also enjoys collaboration and brings a thoughtful approach to data engineering.
