IT Data Engineer II MXT

The IT Data Engineer II advances Tyson's enterprise analytics capabilities by designing, developing, and supporting scalable data solutions within Tyson's cloud analytics ecosystem. This role applies data architecture principles to build data pipelines, dimensional models, and reporting solutions using Tyson-approved platforms and patterns. Their skill set includes developing in big data technologies and enhancing their theoretical knowledge of data warehousing in an analytics environment.
Essential Duties and Responsibilities

• Design, develop, and optimize data pipelines using SQL, Scripting, and Tyson-approved data engineering frameworks.
• Develop and maintain ELT/ETL processes utilizing Cloud Platform services.
• Build and support enterprise data warehouse solutions following Tyson dimensional modeling standards, including Star Schema and Kimball methodologies.
• Develop and optimize data models, views, stored procedures, and transformations to improve data performance and usability.
• Collaborate with business partners, product owners, and analytics teams to translate requirements into scalable data solutions.
• Build, deploy, and support data visualization solutions that effectively communicate data insights.
• Optimize cloud resource utilization and participate in cost management initiatives.
• Contribute to data architecture reviews and recommend improvements to data structures, integration patterns, and reporting solutions.
• Assist with streaming, near real-time, and batch data integration initiatives where applicable.
• Communicate effectively with technical and non-technical stakeholders to deliver business value through data solutions.
• Perform other assigned duties consistent with Tyson Foods' mission, values, and business objectives.

• Strong SQL development and query optimization skills.
• Understanding of data warehousing concepts and basic data architecture.
• Familiarity with version control systems such as Git and CI/CD deployment practices.
• Understanding of DataHub-to-Analytics data movement patterns and enterprise integration concepts.

• Initiative: Proactively identify opportunities to improve data quality, performance, and business insights.
• Teamwork: Partner effectively with business, analytics, and IT teams.
• Communication: Translate technical concepts into actionable business recommendations.
• Critical Thinking: Analyze complex data problems and recommend scalable solutions.
• Adaptability: Quickly learn evolving Tyson platforms, technologies, and business processes.
• Time Management: Manage multiple priorities in a fast-paced enterprise environment.
• Attention to Detail: Ensure accuracy, consistency, and reliability of enterprise data assets.

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.