Senior IT Data Engineer (Onsite)

Tyson Foods, Inc.•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 resources. They have deep knowledge of data security, including row-level and column-level security measures. The role typically leads complex implementations using advanced big data technologies and ensures robust data pipeline orchestration across multiple systems. The Senior IT Data Engineer designs and orchestrates complex data pipelines and ETL processes, architects scalable data solutions, implements data governance and security frameworks, and optimizes cloud costs. The role also leads data visualization strategy and enterprise-scale visualization deployments, oversees pipeline orchestration and system integration, works with third-party vendors, resolves complex escalations, protects sensitive information, and addresses stakeholder needs through data visualization. Other assigned duties may be performed when aligned with the organization’s vision, mission, values, and the role’s scope of practice. The position is onsite and on first shift. A bachelor’s degree or relevant experience is required, along with at least three years of relevant practical experience. Relevant IT certification is preferred. The position is not eligible for immigration or work authorization support or relocation assistance.

Requirements

Bachelor’s degree or relevant experience.
At least 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 skills, including understanding complex data initiatives from conception to completion.
Ability to mentor junior team members.
Strategic thinking to align data solutions with broader organizational goals.
Ability to communicate data strategies to technical and non-technical stakeholders.
Problem-solving ability to resolve complex data challenges and escalations.
Adaptability to evolving data technologies and best practices.
Creativity in data pipeline design and optimization.
Ability and willingness to perform the physical requirements of the job, with or without reasonable accommodation.
Not eligible for immigration or work authorization support, now or in the future.

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 robust data security measures.
Optimize cloud costs through strategic use of cloud resources and efficient data architectures.
Lead data visualization strategies that support data-driven decision-making at a strategic level.
Design and deploy enterprise-scale data visualization solutions, optimizing 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 that align with the organization's vision, mission, and values and fall within the role's scope of practice.
Demonstrate responsible use of approved AI tools, safeguard sensitive information, follow company policies, validate AI-generated outputs, and use professional judgment when applying AI.