Data Engineer II

Tyson Foods, Inc.; Springdale (AR); Vor Ort; USD 90.000 - 120.000; Vollzeit

Zusammenfassung

Tyson Foods, Inc. is seeking a Data Engineer II to join the Inventory & Property Optimization (IPO) organization. You will work across data engineering, SAP systems, finance, inventory and asset management, and data governance to ensure data accuracy and enterprise alignment.

You will independently manage medium-scale assignments, support day-to-day business needs, and partner with finance, operations, engineering, maintenance, supply chain, and technology teams to drive reliable insights.

Qualifikationen

• 3+ years of data engineering experience in ERP/inventory environments.
• Experience with SAP S/4HANA modules (PM/MM/PPPI/PS) and FICO integration.
• Ability to design data pipelines and cloud-based analytics.

Aufgaben

• Design, configure, enhance SAP processes across modules and FICO integration.
• Maintain data pipelines and interfaces for cloud-based reporting.
• Support data governance, master data standards, and data quality reporting.
• Translate findings into actionable business recommendations.

Kenntnisse

Data engineering

SQL

Python

ETL/ELT

Cloud platforms (GCP)

Data governance

Ausbildung

Bachelor's degree in Information Systems or related field

Tools

SAP S/4HANA

Power BI

Tableau

Palantir

Jobbeschreibung

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.

The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.

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.

If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice here .

Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.