Lead IT Data Engineer -Onsite

Tyson Foods - Springdale, AR

Hiring: Lead IT Data Engineer -Onsite Company: Tyson Foods Location: Springdale, AR Job Posted Time: 2026-09-16 23:35:58 Target Skills & Keywords : Airflow, BigQuery, CI/CD, Change Management, Cloud Storage, Data Lake, Data Pipeline, Data Warehouse, ELT, ETL, Fivetran, GCP, Git, GitLab, Machine Learning, Pub/Sub, PySpark, Python, SAP, SQL, Spark, Terraform, dbt About the job Experience: •5+ years of relevant and practical experience in data engineering, cloud data platforms, enterprise analytics, data warehousing, business intelligence, or related technology delivery. Required Skills: •Lead the design and implementation of data engineering solutions for Beef & Pork Analytics, including Fresh Meats data lake, hub, analytics, semantic, and reporting-ready data layers. •Translate business requirements, report needs, KPIs, functional specifications, and validation criteria into scalable data models, pipelines, transformations, and analytics-ready datasets. •Develop, enhance, and support data products that enable Fresh Meats reporting use cases. •Build and orchestrate complex ETL/ELT pipelines using approved enterprise patterns, automation, dependency management, monitoring, alerting, and production support practices. •Support DB2, SAP, USDA, and other internal or external data-source integrations into Data@Tyson/GCP, including replication, freshness monitoring, reconciliation, and exception handling. •Design data solutions for reuse across analytics projects by applying shared dimensions, conformed business definitions, enterprise business terms, and scalable modeling practices. •Implement and validate data security requirements, including role-based access, row-level security, column-level security, ARS roles, data classification dependencies, and DSS/security review requirements when applicable. •Partner with Data Governance, Data Stewards, Product Owners, Data Modeling Coaches, business SMEs, and reporting teams to ensure data assets are documented, classified, stewarded, and aligned to approved business terminology. Qualifications: •Preferred Certification(s): Google Cloud, data engineering, analytics, data governance, Power BI, or other relevant IT certification preferred. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!