Logistics Data Engineer (Corporate 412 West)

Job Details:

* This position will sit 100% onsite at out Corporate 412 West location. *

** Priority consideration will be given to those who currently reside within a 50-mile radius of Springdale, AR. **

Data Engineer - Warehousing Analytics

Summary: The Data Engineer is responsible for developing and supporting scalable data solutions that enable operational reporting, analytics, automation, and business decision-making. This role contributes to the design and maintenance of data pipelines, data models, and visualization solutions that improve visibility into warehousing and logistics operations.

Data Engineers work closely with analysts, business stakeholders, and IT teams to deliver reliable, business-facing solutions that drive efficiency, visibility, and process improvement. This role also supports the team’s continued evolution toward advanced analytics, intelligent automation, and AI-enabled capabilities through strong data engineering fundamentals and a willingness to learn emerging technologies.

Essential Duties and Responsibilities

• Collaborate with analysts and business stakeholders to understand operational requirements and deliver effective data solutions.
• Design, build, and support reporting datasets, dashboards, and visualization solutions that improve operational and strategic decision-making.
• Write and optimize SQL queries, calculations, and data transformations to improve data quality, performance, and usability.
• Design, implement, and maintain data pipelines with a focus on reliability, scalability, and monitoring.
• Develop and support ETL/ELT processes and contribute to data warehousing solutions, including dimensional modeling concepts such as star schema methodologies.
• Assist in building data foundations that support automation, predictive analytics, and advanced reporting use cases.
• Identify opportunities to improve or automate manual data and reporting processes.
• Support data governance initiatives and ensure compliance with data security and access standards.
• Participate in cloud and compute optimization efforts through efficient data design and resource usage.
• Contribute to data architecture discussions and support real-time or near real-time data processing initiatives.
• Build strong business relationships by learning operational processes, systems, terminology, and reporting needs within warehousing and logistics.
• Collaborate with IT teams to support scalable and secure production solutions.
• Perform other assigned job-related duties aligned with organizational goals and team objectives.

Education

• Bachelor’s or Master’s degree in Business, Analytics, Data Science, Supply Chain Management, or a related field preferred. Equivalent experience may be considered.

Experience

• 1+ years of relevant or practical experience in data engineering, analytics, reporting, or related technical fields.

Special Skills

• Proficiency in SQL, data transformation, and reporting or visualization tools.
• Understanding of data warehousing concepts and foundational data architecture principles.
• Familiarity with ETL/ELT processes, data pipeline orchestration, and monitoring concepts.
• Exposure to cloud-based data environments and big data technologies is a plus.
• Interest in automation, advanced analytics, or AI-enabled data solutions.
• Ability to work with structured and semi-structured data sources.
• Experience or familiarity with supply chain, logistics, or warehouse operations is preferred.

Soft Skills

• Initiative: Proactively identifying opportunities for process improvement and automation.
• Teamwork: Collaborating effectively with analysts, business stakeholders, IT teams, and cross-functional partners.
• Communication: Explaining technical concepts and data insights to non-technical audiences.
• Critical Thinking: Analyzing business and data challenges to recommend practical solutions.
• Adaptability: Quickly learning and applying new tools, technologies, and processes.
• Time Management: Managing multiple priorities and delivering high-quality work in a fast-paced environment.
• Attention to Detail: Ensuring data accuracy, consistency, and reliability across solutions.

This role is ideal for someone who enjoys solving business problems with data and wants to grow their skills in automation, advanced analytics, and modern data engineering practices.

* A Resume Is Required To Be Considered For This Role *

* This position will sit 100% onsite (in person) at out Corporate 412 West location. *

** Priority consideration will be given to those who currently reside within a 50-mile radius of Springdale, AR. **

Relocation Assistance Eligible:

Work Shift:

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.

Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.

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.

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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.