Senior IT Data Engineer (Onsite)

Job Details:

The Senior 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 — dimensional modeling, multi-dimensional modeling, ERDs — ensuring consistency and alignment with business processes. Define and implement data contracts and APIs to ensure reliable interfaces between data producers and consumers. Establish and enforce data governance, security, cataloging, and stewardship standards across all data and AI systems. Optimize cloud costs (AWS, GCP, or Azure) through efficient architecture and resource management. Implement CI/CD pipelines for data workflows and manage containerized workloads (Docker, Kubernetes) with infrastructure as code (Terraform). Must be able to work with DBT to model relevant data sources and ensure quality and uptime of that data Drive data observability, including proactive monitoring, alerting, and automated detection of freshness, volume, and schema drift issues. Lead code reviews, design and deploy agentic AI architectures and multi-agent systems that automate data engineering workflows, including RAG systems, vector databases, and LLM-integrated platforms. Implement AI guardrails, observability, and evaluation frameworks, including LLMOps practices (prompt versioning, A/B testing, drift monitoring), cost optimization (token strategies, model selection), and security measures (prompt injection prevention, PII handling). Lead code reviews, establish coding standards, perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice. Collaborating with fellow engineers on architecture and design decisions. Must be able to work with the other developers on the team, specifically the data scientist and AI engineers to assist with what they need. Wrangling massive-scale data and using AI to accelerate and enhance critical operations. Developing custom applications tailored to customer needs. Engaging directly with customer stakeholders, from consumers to technical teams and executives.

Qualifications Education:

Bachelor's Degree or relevant experience. Preferred Certification(s): AWS Solutions Architect Professional, Google Professional Data Engineer, Databricks Certified Data Engineer Professional, or equivalent.

Experience:

3+ years of relevant and practical experience. Special Skills Proficiency in Python and SQL for data engineering at scale. Expertise in modern data platforms (Databricks, Snowflake, BigQuery), lakehouse architectures (Delta Lake, Iceberg), and streaming (Kafka, Flink, Pub/Sub). Deep knowledge of GCP. Hands-on experience with orchestration (Airflow, Dagster), transformation (dbt), containerization (Docker, K8s), and IaC (Terraform). Advanced data modeling, warehousing, dimensional modeling, and data contracts. Expertise in CI/CD, data observability, governance, and cataloging. Advanced expertise in agentic AI architectures, multi-agent systems, LLMOps, RAG pipelines, and AI safety/guardrails. A highly analytical approach and eagerness to solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Experience or curiosity about working with and using large-scale data to take on valuable business problems. Ability to collaborate efficiently in teams of technical and non-technical individuals, and comfortable working in a dynamic environment with evolving objectives and iteration with users.

Soft Skills Project Management:

Leading complex data and AI initiatives end-to-end.

Mentorship:

Guiding team members in technical and professional growth.

Strategic Thinking:

Aligning data and AI solutions with organizational goals.

Communication:

Articulating strategies to technical and non-technical stakeholders.

Problem-Solving:

Resolving complex data and AI system challenges.

Adaptability:

Staying current with rapidly evolving technologies and practices.

Creativity:

Innovating approaches to pipeline design, modeling, and AI automation. Customer obsession Team work & Collaboration •Not eligible for visa sponsorship now or int he future •Not eligible for relocation assistance •

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. Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment. 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. Our team members make the difference. If you are ready to grow your career with an industry leader and want to positively impact the team and community around you, then join us in helping us in raising expectations. Join us on the journey. At Tyson, we feed the world like family. Our Talent Strategy is to Attract, Grow, Reward and Retain the best talent, and we believe that our Culture is the connecting thread that drives that strategy! We strive to be a talent magnet to establish a reputation for being a talent rich organization where team members can grow their career while growing the business. We are a high performing organization where team members are rewarded (Pay, Benefits and Recognition) for their contributions, and given the opportunity to support and/or volunteer with programs that help Tyson make a lasting social impact in the communities where we live and work. To learn more about our culture, please read Our Purpose. The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation. Tyson Foods, Inc. is an Equal Opportunity Employer. If you are unable to apply for career opportunities through use of this site due to an impairment or disability, please contact (479) 290-5000 for further assistance.