Data Engineer II

Tyson Foods; Springdale (AR); On-site; USD 85,000 - 125,000; Full time

Job summary

Tyson Foods hires a Data Engineer II to support Inventory & Property Optimization, collaborating across finance, operations and technology. You will design SAP processes, build data pipelines for cloud reporting, and ensure data quality and governance across inventories.

The role involves travel and on-site work with a focus on actionable insights for business partners. Requirements include a bachelor’s in a related field and 3+ years of data engineering, ERP, or analytics experience, with

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Engineering, or related field.
• 3+ years in data engineering, ERP systems, inventory or asset management, or data governance.
• Experience solving medium-scope data and system issues with business users.

Responsibilities

• Design, configure, enhance and support SAP processes (PM, MM, PPPI, PS, FSQA) including FICO integration.
• Develop data pipelines and interfaces for cloud-based reporting and analytics.
• Support SaaS solutions for inventory, maintenance and asset lifecycle management.
• Maintain master data standards and perform data cleansing and governance activities.
• Create data quality reporting, user guides and training materials.
• Translate technical findings into actionable business recommendations.

Skills

SQL

Python

ETL/ELT

Data quality

Data governance

Cross-functional collaboration

Education

Bachelor's degree in Information Systems, Computer Science, Engineering, Supply Chain, Finance, Accounting, Data Analytics

Tools

SAP S/4HANA

FICO

Google Cloud Platform

Collibra

Power BI

Tableau

Job description

Job Details:

Tyson Foods is seeking a Data Engineer II to join our Inventory & Property Optimization (IPO) organization. This role works across data engineering, SAP systems, finance, inventory and asset management, and data governance to ensure inventory and asset data is accurate, reliable, and aligned with enterprise standards.

The Data Engineer II will independently manage assignments of medium scope and complexity, provide day-to-day business and system support, and partner with teams across finance, operations, engineering, maintenance, supply chain, and technology.

Essential Duties & 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.

Requirements

Education: 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.

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.

Technical & Functional Expertise

• SAP S/4HANA: 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. Fiori exposure preferred.
• Data Engineering: SQL preferred; Python, ETL/ELT tools, and cloud platforms such as Google Cloud Platform or equivalent preferred.
• Analytics: Power BI, Palantir, Tableau, or Analysis for Excel, plus advanced Excel.
• Data Governance: Familiarity with platforms such as Collibra or equivalent, including catalogs, lineage, and stewardship concepts.
• Warehouse Systems: Exposure to warehouse or storeroom management systems and physical inventory processes preferred.

Additional Qualifications

• 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.

Preferred Qualifications

• 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.

Travel:

Approximately 25%–40% travel, depending on assignment.

Additional Position Requirements:

• This position does not offer sponsorship benefits. A resume must be included to be considered.
• This position does not offer relocation benefits. Priority consideration will be given to qualified candidates currently residing within 50 miles of the Springdale area. Candidates willing to self-relocate may be considered after the initial review of local applicants.
• Interviews will be conducted on-site.
• This is not a remote position. The selected candidate will work on-site.

All professional team members are expected to demonstrate responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs. Individual Contributors should demonstrate the ability to integrate AI into daily work, improve efficiency through AI-enabled solutions, evaluate outputs critically, and apply professional judgment when using AI. People Leaders should demonstrate the ability to drive responsible AI adoption, enable effective use of approved solutions, identify opportunities to improve team performance through AI, and ensure accountability for the quality and accuracy of AI-supported outcomes.

Relocation Assistance Eligible:

No

Work Shift:

1ST SHIFT (United States of America)

Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended.

Tyson is an Equal Opportunity Employer.

All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.

We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.

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