Senior IT Data Engineer (Onsite)

Tyson Foods

Springdale (AR)

On-site

USD 110,000 - 160,000

Full time

40 hours ago
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Job summary

Tyson Foods in Springdale, AR is seeking a Senior IT Data Engineer to design and orchestrate complex data pipelines, enabling real-time data refreshes while optimizing cloud resources. You will implement robust data security, governance, and visualization strategies to support data-driven decisions at a strategic level.

The role requires a Bachelor’s degree or equivalent experience, 3+ years in data engineering, and relevant IT certifications.

Qualifications

  • Bachelor’s degree or relevant experience required.
  • Any relevant IT certification preferred.
  • 3+ years of practical data engineering experience.

Responsibilities

  • Lead design and orchestration of complex data pipelines and ETL processes.
  • Architect scalable data solutions including warehousing and big data tech.
  • Implement advanced data governance and robust data security measures.
  • Optimize cloud costs through efficient data architectures.
  • Lead development of data visualization strategies for strategic decisions.
  • Oversee enterprise-scale data visualization and performance optimizations.

Skills

Data streaming
Real-time processing
Data architectures
Big data technologies
Data security
Leadership
ETL design

Education

Bachelor’s Degree
IT Certification

Job description

Job Details
  • Not eligible for immigration/work authorization support now or in the future *
  • Not eligible for relocation assistance *

The Senior IT 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.

Essential Duties and 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 by strategically using cloud resources and efficient data architectures.
  • Lead the development of data visualization strategies, ensuring they contribute to 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 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.
Qualifications
  • Education: Bachelor’s Degree or relevant experience.
  • Preferred Certification(s): Any relevant IT Certification.
  • Experience: 3+ years of relevant and practical experience.
Special Skills
  • 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.
Soft Skills
  • 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.
  • Not eligible for immigration/work authorization support now or in the future *
  • Not eligible for relocation assistance * All professional team members are expected to demonstrate responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs. Individual Contributors should demonstrate the ability to integrate AI into daily work, improve efficiency through AI-enabled solutions, evaluate outputs critically, and apply professional judgment when using AI. People Leaders should demonstrate the ability to drive responsible AI adoption, enable effective use of approved solutions, identify opportunities to improve team performance through AI, and ensure accountability for the quality and accuracy of AI-supported outcomes.
Relocation Assistance Eligible

No

Work Shift

1ST SHIFT (United States of America)

Certain roles at Tyson require background checks.

If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended.

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.

We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.

If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice here.

Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.

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