Data Engineer

Andersons • Maumee, OH

7d • Onsite

About The Position

As a North American leader in agribusiness and renewable fuels, The Andersons operates in a unique space, bringing together agriculture, energy, and global markets. From the farm to customers around the world, we help move food, feed, and fuel where it’s needed most. Our business spans the full value chain, which means the work we do directly supports farmers, customers, and communities every day. Whether it’s helping producers succeed, delivering essential products, or advancing more sustainable energy solutions, our impact is both local and global. What truly sets us apart is how we work together. We are a performance-driven, people-powered organization where employees are owners, sharing in our success and helping shape our future. We invest in our team through development opportunities, meaningful career paths, and a culture that encourages growth, collaboration, and continuous improvement. At the core of everything we do is our Statement of Principles. We are committed to providing extraordinary service to our customers, helping our employees improve, supporting our communities, and increasing the value of the company for our shareholders. Position Overview This position is responsible for designing, building, and maintaining scalable data platforms and pipelines that support enterprise reporting, analytics, AI, and data-driven decision making. This role enables reliable, secure, and governed access to data by integrating information from SAP, cloud applications, operational systems, and external sources into the enterprise analytics ecosystem.

Requirements

• Bachelor’s Degree required
• 2-5 years’ relevant experience required
• Proficiency with data engineering technologies such as Databricks, Spark, Python, SQL, and ETL/ELT frameworks.
• Experience developing and maintaining Power BI datasets, semantic models, and data solutions that support enterprise reporting and analytics.
• Excellent organizational skills and attention to detail
• Excellent written and verbal communication skills
• Proficient in Microsoft Office Suite or similar software

Responsibilities

• Design, develop, and maintain data pipelines, integrations, and transformation processes that support enterprise reporting, analytics, and business operations
• Build and optimize scalable data models, curated datasets, and data products to enable business intelligence and decision-making
• Monitor, troubleshoot, and improve data quality, performance, reliability, and operational support processes
• Ensure adherence to data governance, security, privacy, and enterprise architecture standards
• Collaborate with business and technology teams to gather requirements, design solutions, and support project implementation
• Develop and maintain technical documentation, standards, and best practices while identifying opportunities for continuous improvement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level