Data Engineer I

Tyson Foods is looking for a motivated Data Engineer I to help strengthen inventory optimization through reliable enterprise data. This onsite role in Springdale, AR supports day-to-day operations and analytics efforts across inventory, assets, and operational processes spanning EAM, EIM, and MRO. You will work closely with business and IT teams to improve data quality, enable reporting, and support better operational and financial decision-making.

What you will work on

• Support inventory, asset, and operational data management activities across EAM, EIM, and MRO business processes.
• Assist with data validation, reconciliation, correction, and reporting to keep datasets accurate and usable.
• Maintain master data records in SAP and connected systems in line with established standards.
• Provide support to business users with reporting, system questions, issue resolution, and application support activities.
• Participate in inventory optimization work, including data quality, governance, analytics, and process improvement initiatives.
• Help document business processes, system configurations, standards, and procedures to support repeatable execution.
• Support dashboard creation, report development, and analysis that contribute to operational and financial decisions.
• Collaborate with team members and business partners to complete assigned projects, support daily operations, and communicate findings clearly.
• Learn and apply data, systems, and business knowledge to support inventory optimization efforts across Finance, Operations, Maintenance, Engineer, and IT.
• Contribute to a culture of collaboration, continuous learning, and improvement through curiosity, clear communication, and reliable execution.

What you bring

• Bachelor’s degree preferred in Supply Chain, Engineering, Information Systems, Computer Science, Data Analytics, Finance, Accounting, or a related field.
• An equivalent combination of education and relevant work experience will also be considered.
• 0–2 years of relevant work experience; college projects are welcome.
• Above-standard computer skills.
• Willingness to learn SAP S/4HANA and the business processes behind it is essential.
• Foundational data handling skills such as advanced Excel, introductory SQL, or exposure to Python, plus genuine interest in analytics platforms such as Power BI, Palantir, or Tableau.
• AI platform exposure preferred.
• Interest in manufacturing, supply chain, or asset-intensive environments, and a 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 make assumptions.
• Supervisory: none.
• Travel: open to travel to manufacturing sites and project locations as needed up to 50% of the year.

Tools you will use

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

Benefits and schedule

• Paid time off
• 401(k) plans
• Affordable health, life, dental, vision, and prescription drug benefits
• Work shift: 1ST SHIFT (United States of America)
• Relocation assistance eligible: No