Relocation Assistance Eligible:
No
Referral Payout Eligible:
No
Continue growing with our family.

Our team members make it happen. If you want to continue to grow in a new role internally and see a position that looks right for you, we encourage you to apply

Thanks for your commitment to Tyson Foods.

Management Level:
P4

The Lead IT Data Engineer is an expert in building and optimizing modern data platforms, including real-time streaming pipelines that are cost-optimized for cloud resources. This role leads complex projects across data engineering, enterprise data modeling, and agentic AI — architecting scalable solutions, enforcing governance and security, and deploying AI-powered autonomous workflows that transform data engineering practices.
This position requires working side by side with users of the solution, understanding the opportunities, and rapidly iterating on the solution; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. You’ll work in small,



agile teams and own the end-to-end execution and implementation of high-stakes projects for Tyson’s extensive manufacturing footprint. Very few companies provide the opportunity to work end-to-end projects and initiatives with such massive scale with significant could and data infrastructure already in place.
With over 100+ manufacturing facilities worldwide, this position will be front and center influencing change and deploying technology to more than 100,000 team members.

Essential Duties and Responsibilities
- Lead the design and orchestration of complex data pipelines and ETL/ELT processes using Python, SQL, and modern frameworks (e.g., dbt, Airflow, Dagster) for a $50B company.
- Architect scalable data solutions using modern platforms ( BigQuery), lakehouse patterns (Delta Lake, Iceberg), and event-driven streaming architectures (Kafka, Flink, Pub/Sub).
- Must be able to design enterprise-wide data models using advanced techniques

📌 Lead IT Data Engineer MXT (Torreón)
🏢 Tyson Mexico Trading Companyde CV
📍 Torreón