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Data Engineer

Job in Maumee, Lucas County, Ohio, 43537, USA
Listing for: Talentify
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 120000 USD Yearly USD 80000.00 120000.00 YEAR
Job Description & How to Apply Below

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.

Key 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 is Expected of You and Others at This Level
  • Intermediate knowledge and experience in own discipline; still acquiring higher level knowledge and skills
  • Solves a range of straightforward problems
  • Analyzes possible solutions using standard procedures
  • Receives a moderate level of guidance and direction Competencies Expected of You and Others at This Level
    • Collaborates
      - Builds partnerships and works cooperatively with others to achieve shared objectives
    • Ensures Accountability
      - Holds self and others accountable to meet commitments
    • Being Resilient
      - Rebounds from setbacks and adversity when facing difficult situations
    • Customer Focus
      - Builds strong customer relationships and delivers customer centric solution
    • Values Differences
      - Recognizes the value that different perspectives and cultures bring to an organization
    • Optimizes Work Processes
      - Knows the most effective and efficient processes to get things done, with a focus on continuous improvement
    • Instills Trust
      - Gains the confidence and trust of others through honesty, integrity, and authenticity
    Minimum Qualifications and Skills
    • 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…
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