Senior IT Data Engineer (Onsite)

Tyson Foods•Springdale, AR

1d•Onsite

About The Position

Senior IT Data Engineers are experts in data streaming and in building data pipelines that support real-time data refreshes while optimizing computing-resource costs. They apply deep knowledge of data security, including row-level and column-level security measures. The role typically leads complex project implementation using advanced big data technologies and ensures robust orchestration of data pipelines across multiple systems. The position leads the design and orchestration of complex data pipelines and ETL processes, architects scalable data solutions, implements data governance and security frameworks, and optimizes cloud costs. It also leads data visualization strategy and enterprise-scale visualization solutions, oversees pipeline orchestration and system integration, evaluates third-party tools and functionality, resolves complex escalations, and communicates with stakeholders about data-visualization needs. A bachelor's degree or relevant experience and at least three years of relevant practical experience are required. Relevant IT certification is preferred. The position is onsite and works first shift in the United States. The employer does not provide immigration or work-authorization support or relocation assistance. Team members are expected to use approved AI tools responsibly, protect sensitive information, follow company policies, and critically validate AI-generated outputs.

Requirements

Bachelor's degree or relevant experience.
At least 3 years of relevant 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.
Ability to learn and understand complex data initiatives from conception to completion.
Ability to guide junior team members in their professional development.
Ability to align data solutions with broader organizational goals.
Ability to communicate data strategies to technical and non-technical stakeholders.
Ability to resolve complex data challenges and escalations.
Adaptability to evolving data technologies and best practices.
Creativity in data pipeline design and optimization.
Willingness and ability to perform the physical requirements of the job, with or without reasonable accommodation.

Nice To Haves

Any relevant IT certification.

Responsibilities

Lead the design and orchestration of complex data pipelines and ETL processes, focusing on optimizing data models.
Architect scalable data solutions, including data warehousing and big data technologies, and ensure alignment with organizational goals.
Implement advanced data governance frameworks and ensure robust data security measures.
Optimize cloud costs through strategic use of cloud resources and efficient data architectures.
Lead the development of data visualization strategies that contribute to data-driven decision-making at a strategic level.
Design and deploy enterprise-scale data visualization solutions and optimize their performance within tools.
Oversee complex data pipeline orchestration and ensure seamless integration across systems.
Interact with third-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 with stakeholders to understand and address their needs through data visualization.
Perform other assigned job-related duties aligned with the organization's vision, mission, and values and within the employee's scope of practice.
Use approved AI tools responsibly, safeguard sensitive information, follow company policies, and validate AI-generated outputs.