Senior IT Data Engineer (Onsite)

Tyson Shared Services•Springdale, AR

7d•Onsite

About The Position

Senior IT Data Engineers are experts in data streaming and building data pipelines that support real-time data refreshes while optimizing computing-resource costs. They understand data security, including implementing row-level and column-level security measures. The role involves leading complex projects, applying advanced big data technologies, and ensuring robust data pipeline orchestration across multiple systems. The Senior IT Data Engineer designs and orchestrates complex data pipelines and ETL processes, architects scalable data and warehousing solutions, advances data governance and security, and optimizes cloud costs. The role also leads enterprise-scale data visualization strategy and deployment, coordinates integration across systems, works with third-party vendors, resolves complex escalations, and communicates with stakeholders. The position is onsite and 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.
Ability to 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 articulate data strategies to technical and non-technical stakeholders.
Ability to resolve complex data challenges and escalations.
Ability to stay current with evolving data technologies and best practices.
Ability to innovate approaches to data pipeline design and optimization.
Willingness and ability to perform the physical requirements of the job with or without reasonable accommodation.
Demonstrate responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs. Individual contributors are expected to integrate AI into daily work, improve efficiency through AI-enabled solutions, critically evaluate outputs, and apply professional judgment.

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 contribute to strategic, data-driven decision-making.
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 effectively 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 scope of practice.