Data Engineer I

Tyson Foods is seeking a motivated Data Engineer I (onsite) in Springdale, AR to support inventory optimization through improved enterprise inventory, asset, and operational data.

Responsibilities

• Support inventory, asset, and operational data management activities across EAM, EIM, and MRO business processes
• Assist with data validation, reconciliation, correction, and reporting-related activities
• Maintain master data records in SAP and connected systems in alignment with established standards
• Support business users with reporting needs, system questions, issue resolution, and application support activities
• Participate in inventory optimization work focused on data quality, governance, analytics, and process improvement
• Help document business processes, system configurations, standards, and procedures
• Assist with dashboard creation, report development, and analysis supporting operational and financial decision-making
• Collaborate with team members and business partners to complete assigned projects, support day-to-day operations, and communicate findings effectively
• Learn and apply data, systems, and business knowledge to support inventory optimization initiatives spanning Finance, Operations, Maintenance, Engineer, and IT
• Contribute to a culture of collaboration, continuous learning, and improvement through curiosity, clear communication, and reliable execution

Requirements

• Bachelor’s degree preferred in Supply Chain, Engineering, Information Systems, Computer Science, Data Analytics, Finance, Accounting, or related field
• Equivalent combination of education and relevant work experience will be considered
• 0–2 years of relevant work experience
• College projects will be considered
• Above-standard computer skills
• Demonstrated willingness to learn SAP S/4HANA and the associated business processes is essential
• Foundational data skills such as advanced Excel, introductory SQL, or exposure to Python, with interest in analytics platforms including Power BI, Palantir, or Tableau
• AI platform exposure preferred
• Interest in manufacturing, supply chain, or asset-intensive environments, and desire to understand how fixed assets, direct materials, and spare parts influence cost, cash, and capital decisions
• Strong attention to detail, disciplined follow-through, and judgment to escalate questions early rather than assume
• Supervisory: none
• Open to travel to manufacturing sites and project locations as needed up to 50% of the year

Technologies

• SAP
• SAP S/4HANA
• Excel
• SQL
• Python
• Power BI
• Palantir
• Tableau

Benefits

• Paid time off
• 401(k) plans
• Affordable health, life, dental, vision, and prescription drug benefits

• Relocation assistance eligible: No
• Work shift: 1ST SHIFT (United States of America)