Senior Data Engineer - Logistics (Springdale, AR Terminal Office)

Tyson Foods•Springdale, AR

19h•Onsite

About The Position

The Senior Data Engineers are experts in data streaming, building data pipelines that support real-time data refreshes and are cost-optimized for computing resources. They deeply understand data security, implementing row-level and column-level security measures. This role typically involves leading the implementation of complex projects, using advanced big data technologies, and ensuring robust data pipeline orchestration across multiple systems to help drive better business outcomes. Your insights will help shape strategic decisions and enhance operational performance. At Tyson, the Talent Strategy is to Attract, Grow, Reward and Retain the best talent, and the Culture is the connecting thread that drives that strategy. They strive to be a talent magnet to establish a reputation for being a talent rich organization where team members can grow their career while growing the business. They are a high performing organization where team members are rewarded (Pay, Benefits and Recognition) for their contributions, and given the opportunity to support and/or volunteer with programs that help Tyson make a lasting social impact in the communities where they live and work. Tyson feeds the world like family.

Requirements

Bachelor’s or master’s degree in business, Analytics, Data Science, Supply Chain Management, or a related field.
4 years of related experience may be acceptable in lieu of a degree.
3+ years of relevant and practical experience.
Advanced skills in data streaming and real-time data processing.
Expertise in designing complex data architectures and scalable systems.
Deep knowledge of big data technologies and extensive experience with data security measures.
Ability to lead data architecture reviews and approvals.
Project Management: Learning and understanding complex data initiatives from conception to completion.
Mentorship: Guiding junior team members in their professional development.
Strategic Thinking: Aligning data solutions with broader organizational goals.
Communication: Articulating data strategies to both technical and non-technical stakeholders.
Problem-Solving: Resolving complex data challenges and escalations.
Adaptability: Staying current with rapidly evolving data technologies and best practices.
Creativity: Innovating new approaches to data pipeline design and optimization.

Nice To Haves

Any relevant certifications.

Responsibilities

Architect scalable data solutions, including data warehousing and big data technologies, and ensure alignment with organizational goals.
Lead the development of data visualization strategies, ensuring they contribute to data-driven decision-making at a strategic level.
Lead the design and orchestration of complex data pipelines and ETL processes, focusing on optimizing data models.
Mentor junior engineers in SQL, scripting, and advanced data visualization techniques, ensuring the creation of intuitive and visually appealing dashboards.
Implement advanced data governance frameworks and ensure robust data security measures.
Optimize cloud costs by strategically using cloud resources and efficient data architectures.
Design and deploy enterprise-scale data visualization solutions, optimizing performance within tools.
Interact with 3rd party vendors to incorporate new functionality and evaluate tools.
Resolve complex escalations and situations, driving effective resolutions.
Ensure adherence to data privacy and security practices to protect sensitive information.
Communicate effectively with stakeholders to understand and address their needs through data visualization.
Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice.