Data Engineer II

Responsibilities

• Support inventory accounting, valuation, cycle counts, physical inventory adjustments, and identification of slow-moving and obsolete inventory
• Support construction-in-progress controls, capitalization metrics, maintenance and repair analytics, and reconciliation activities
• Design, configure, enhance, and support SAP processes across PM, MM, PPPI, PS, and FSQA, including FICO integration
• Design and maintain data pipelines and interfaces supporting cloud-based reporting and analytics
• Configure and support SaaS solutions for inventory, maintenance, and asset lifecycle management
• Troubleshoot system and data issues and provide clear documentation of resolutions
• Maintain master data standards and support data cleansing, harmonization, enrichment, and governance activities
• Develop data quality reporting, documentation, user guides, and training materials
• Translate technical findings into actionable recommendations for business and technology partners
• Support peer development, onboarding, shared standards, and cross-functional improvement initiatives

Preferred

• Fiori exposure
• SQL
• Python, ETL/ELT tools, and cloud platforms such as Google Cloud Platform or equivalent
• Exposure to warehouse or storeroom management systems and physical inventory processes
• Food, protein, or other regulated manufacturing experience
• Exposure to SAP S/4HANA implementation, migration, or enhancement work
• Interest in developing toward a senior individual contributor or leadership track

Benefits

• Paid time off
• 401(k) plans
• Affordable health, life, dental, vision, and prescription drug benefits
• Glassdoor
• 3.5
• Tyson Foods is a modern, multi-national, protein-focused food company.
• Springdale, Arkansas, USA
• http://tysonfoods.com
• Public Company
• Total Funding
• $2.5B
• 2026-08-10
• Post Ipo Debt· $1B
• 2024-02-28
• Post Ipo Debt· $1.5B
• 1978-01-13
• IPO
• Leadership Team
• Devin Cole
• Chief Operating Officer
• Barb Masters
• VP Regulatory Policy, Food and Agriculture
• Recent News
• Techlicious Latest Articles
• Bought bacon or pork? You may qualify for part of $117M settlement
• 2026-10-22
• Morningstar.com
• Big tech is wobbling. Goldman Sachs says it's time to buy these 23 unloved stocks instead.
• Law360
• Tyson, Pork Buyers Get Final OK For $48M Pork Price-Fix Deal

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Engineering, Supply Chain, Finance, Accounting, Data Analytics, or a related field, or an equivalent combination of education and relevant experience
• 3+ years of experience spanning data engineering, ERP systems, inventory or asset management, manufacturing analytics, or data governance
• Demonstrated ability to independently complete assignments of medium scope
• Experience working directly with business users to resolve system and data issues
• Working knowledge of manufacturing operations in an asset-intensive or high-volume production environment
• Hands-on experience in at least one of PM, MM including inventory management, PPPI, or PS; working familiarity across the others; exposure to FSQA; and basic understanding of FICO transactions
• Power BI, Palantir, Tableau, or Analysis for Excel, plus advanced Excel
• Familiarity with platforms such as Collibra or equivalent, including catalogs, lineage, and stewardship concepts
• Strong analytical, problem-solving, written, and verbal communication skills
• Ability to identify and trace data discrepancies across processes, system configuration, and master data
• Ability to build effective partnerships across finance, operations, and technology teams
• This position does not offer sponsorship benefits
• Fiori exposure
• SQL
• Python, ETL/ELT tools, and cloud platforms such as Google Cloud Platform or equivalent
• Exposure to warehouse or storeroom management systems and physical inventory processes
• Food, protein, or other regulated manufacturing experience
• Exposure to SAP S/4HANA implementation, migration, or enhancement work
• Interest in developing toward a senior individual contributor or leadership track
• 3+ years of experience spanning data engineering, ERP systems, inventory or asset management, manufacturing analytics, or data governance.

Required skills

• Collibra, Data Engineering, Data Governance, Google Cloud Platform, Inventory and Asset Management, Manufacturing Analytics, Microsoft Excel, Palantir, Power BI, Python, SAP Financial Accounting and Controlling (FICO), SAP Fiori, SAP Materials Management (MM), SAP Plant Maintenance (PM), SAP Production Planning for Process Industries (PPPI), SAP Project System (PS), SAP S/4HANA, SQL, Tableau

Preferred skills

• Fiori exposure, Food, protein, or other regulated manufacturing experience, SQL

Experience

• 3+ years