Who we are.
Grain Millers, Inc. is a leading manufacturer and merchandiser of whole grain ingredients used in food products around the world. While you may not know our name, you've almost certainly enjoyed our products. For almost 40 years, we've supplied ingredients to nearly every major food company in North America. With almost 1,100 employees across the U.S. and Canada, our Eden Prairie, MN headquarters supports a growing network of mills, warehouses, and production facilities.
Why we need you.
We're looking for a Senior Data Engineer to lead the design, development, and optimization of our enterprise data infrastructure. You'll play a central role in transforming data from ERP, MES, supply chain, and quality systems into trusted, actionable insights that support analytics, reporting, and operational visibility across our manufacturing footprint.
This is a hands-on, strategic role where you'll combine deep data engineering expertise with an understanding of manufacturing systems and business processes. Your work will power business intelligence, machine learning, and real-time decision-making across Grain Millers.
Who you'll be working with.
You'll report to the Director of Application Development and collaborate closely with technology and business operations teams. You'll also engage with stakeholders across Supply Chain, Manufacturing, and Quality to understand business needs and deliver solutions that drive value. As a senior member of the team, you'll mentor junior engineers and help foster technical growth and collaboration across the organization.
Who you are.
You're a highly skilled data engineer who thrives at the intersection of technology and business. You're passionate about building scalable systems, solving complex data challenges, and helping teams use data more effectively. You're a natural problem solver, a strong communicator, and someone who enjoys working in a fast-paced, collaborative environment.
What you'll do.
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Design, build, and maintain scalable data pipelines using tools such as Azure, Databricks, Airflow, dbt, and Spark.
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Develop ETL/ELT processes to ingest structured and unstructured data from diverse systems.
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Partner with architects, engineers, and analysts to design and optimize data models for analytics and operations.
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Ensure high data quality, availability, and performance across enterprise systems.
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Collaborate with stakeholders to build dashboards and reporting solutions in BI tools such as Power BI or Tableau.
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Implement strong data governance practices, including data security, privacy, and compliance.
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Mentor junior engineers and champion best practices in data engineering.
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Drive adoption of modern cloud, DevOps, and MLOps practices to support analytics and machine learning initiatives.
What you bring.
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Master's degree in Computer Science, Engineering, Information Systems, or related field with 5+ years of large-scale data engineering experience; OR a Bachelor's degree with 10+ years of experience.
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Strong proficiency in Python, SQL, and modern big data technologies (e.g., Azure Data Lake, Hadoop, Azure Data Factory).
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Expertise in cloud data platforms (Azure, AWS, or GCP) and orchestration tools (Airflow, Data Factory, Synapse, Databricks).
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Experience with data modeling, warehousing concepts, and distributed systems.
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Familiarity with infrastructure-as-code and CI/CD pipelines (Terraform, Bicep, Ansible).
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Strong communication, problem-solving, and collaboration skills.
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Experience in agribusiness or food manufacturing environments preferred.
What we offer.
Grain Millers offers a competitive compensation and benefits package including medical, dental, vision, disability, and life insurance. Our 401(k) plan includes a generous company match. Employees at our Eden Prairie office enjoy a modern workplace, covered parking, a fitness center, and a collaborative environment that encourages continuous improvement and personal growth.
Grain Millers is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Race/Color/Gender/Religion/National Origin/Disability/Veteran
