{bc}
Apply
workday

Lead IT Data Engineer -Onsite

Tyson Foods
Springdale, USA
Full-time
Lead · 5+ years experience
Onsite
Discovered 3 weeks ago
airflowbigquerydbtgcpgitpower-bi

Full Job Posting

Qualifications

  • Education: Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, Analytics, or related field, or equivalent combination of education and relevant experience.
  • Preferred Certification(s): Google Cloud, data engineering, analytics, data governance, Power BI, or other relevant IT certification preferred.
  • 5+ years of relevant and practical experience in data engineering, cloud data platforms, enterprise analytics, data warehousing, business intelligence, or related technology delivery.
  • Strong SQL skills and experience developing analytical datasets for enterprise reporting, dashboards, semantic models, and downstream analytics consumption.
  • Hands-on experience with cloud data platforms, preferably GCP and BigQuery, or comparable cloud data technologies.
  • Experience designing and supporting multi-layer data architectures such as lake, hub, curated, analytics, semantic, dimensional, star-schema, or medallion-style models.
  • Experience with ETL/ELT development, orchestration, pipeline monitoring, job dependencies, failure handling, and production support.
  • Experience working with source-system data, preferably including ERP, mainframe, DB2, SAP, manufacturing, sales, finance, pricing, or commodity-related datasets.
  • Understanding of data governance, metadata, business terminology, lineage, stewardship workflows, data classification, and controlled promotion into production.
  • Experience implementing or supporting data security controls, including role-based, row-level, and column-level access patterns.
  • Experience with Git-based development, merge requests, code review, deployment discipline, testing evidence, and change approval documentation.
  • Experience with Kimball data warehouse methodology in a medallion raw-cleansed-curated data architecture
  • Ability to lead technical design discussions, identify risks, challenge assumptions, and recommend scalable, supportable solutions.
  • Experience with GCP services such as BigQuery, Cloud Storage, Dataproc, Pub/Sub, Composer/Airflow, Dataflow, or related tools.
  • Experience with dbt, Python, PySpark, Spark, Terraform, CI/CD, or other modern data engineering technologies.
  • Experience with Power BI, AtScale, semantic layer design, Fabric capacity awareness, or enterprise reporting consumption patterns.
  • Experience with Fivetran, HVR, CDC, data replication, freshness checks, or source-to-cloud ingestion monitoring.
  • Experience supporting USDA, commodity pricing, sales realization, profitability, finance, supply chain, order/invoice, customer, product, or manufacturing analytics.
  • Experience with data quality frameworks, automated reconciliation routines, observability tooling, or audit-ready validation practices.
  • Experience supporting AI, machine learning, automation, or advanced analytics use cases through trusted and well-modeled data assets.
  • Technical Leadership: Serves as a senior technical contributor who can lead complex engineering work while coaching others toward durable, governed solutions.
  • Business Partnership: Builds strong relationships with business SMEs, product managers, analysts, data stewards, and platform teams to deliver analytics that solve real business problems.
  • Execution Ownership: Drives work from discovery and design through development, validation, production deployment, support, and continuous improvement.
  • Communication: Explains complex data concepts, technical tradeoffs, risks, timelines, dependencies, and decisions to both technical and non-technical stakeholders.
  • Detail Orientation: Values accuracy, traceability, and documentation, especially for business-critical reporting, validation, issue resolution, and audit-sensitive processes.
  • Strategic Thinking: Aligns data architecture and engineering choices to business outcomes, reuse, governance, security, performance, and long-term maintainability.
  • Mentorship: Develops engineers and analysts by reinforcing SQL quality, modeling standards, documentation, testing, support readiness, and problem-solving discipline.
  • Change Management: Helps teams adopt new data patterns, cloud practices, governance expectations, and proactive production support behaviors.
  • Not eligible for immigration or work authorization support now or in the future
  • Not eligible for relocation assistance
  • No
  • 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.
  • Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.
  • 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.

Experience

  • Required Technical Skills:
  • Preferred Technical Skills:
  • Soft Skills:
  • Relocation Assistance Eligible:
  • Work Shift:

Preferred Qualifications

  • Preferred Certification(s): Google Cloud, data engineering, analytics, data governance, Power BI, or other relevant IT certification preferred.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Tyson Foods

FSQA Technician 5- Grannis, AR- 1st Shift

Grannis, USA

Discovered TodayFull-time

Dispatch Monitor - MH Dept. 522

Holcomb, USA

Discovered TodayFull-time

Supervisor Maintenance - A Shift - Dakota City

Dakota City, USA

Discovered TodayFull-time

Manager Carcass Merchandising - Dakota City Plant

Dakota City, USA

Discovered TodayFull-time

Maintenance Electrical Technician 6- 2nd shift

Fayetteville, USA

Discovered TodayFull-time

Foreign Object Liaison - Proc A Dept. 970

Holcomb, USA

Discovered TodayFull-time

Warehouse Supervisor - 2nd Shift

Caseyville, USA

Discovered TodayFull-time

Senior Controller (Poutry)

Springdale, USA

Discovered TodayFull-time