Lead IT Data Engineer -Onsite
Tyson Foods, Inc.1 month ago
Springdale, AR, USAStaff+
Responsibilities
- Lead the design and implementation of data engineering solutions, including Fresh Meats data lake, hub, analytics, semantic, and reporting-ready layers.
- Translate business requirements, KPIs, report needs, and validation criteria into scalable data models, pipelines, transformations, and analytics-ready datasets.
- Build, orchestrate, monitor, and support complex ETL/ELT pipelines with dependency management, alerting, failure handling, and production support.
- Integrate DB2, SAP, USDA, and other internal or external data sources into Data@Tyson/GCP with replication, freshness monitoring, reconciliation, and exception handling.
- Apply reusable data models, shared dimensions, conformed business definitions, enterprise terminology, and Kimball methodology across analytics projects.
- Implement and validate role-based, row-level, and column-level security controls and support data classification and security reviews.
- Partner with governance, stewardship, product, modeling, business, and reporting teams to document, classify, maintain, and steward data assets.
- Support Collibra workflows involving tables, fields, lineage, classifications, and business terms.
- Lead data quality, reconciliation, observability, incident triage, access support, pipeline recovery, and production reporting issue resolution.
- Participate in architecture and data model reviews, GitLab merge request readiness, release planning, production promotion, and change approval activities.
- Mentor data engineers and analysts and manage technical relationships with platform teams, vendors, and third-party partners.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field, or an equivalent combination of education and relevant experience.
- At least 5 years of relevant 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.
- Hands-on experience with cloud data platforms, preferably GCP and BigQuery, or comparable cloud data technologies.
- Experience with multi-layer data architectures, ETL/ELT development, orchestration, pipeline monitoring, job dependencies, failure handling, and production support.
- Experience with source-system data, preferably including ERP, mainframe, DB2, SAP, manufacturing, sales, finance, pricing, or commodity datasets.
- Understanding of data governance, metadata, terminology, lineage, stewardship, data classification, and controlled production promotion.
- Experience implementing or supporting role-based, row-level, and column-level data access controls.
- 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 raw-cleansed-curated medallion architecture.
- Ability to lead technical design discussions, identify risks, challenge assumptions, and recommend scalable and supportable solutions.
- Preferred qualifications include Google Cloud, data engineering, analytics, data governance, Power BI, or other relevant IT certifications.
- Preferred experience includes GCP services, dbt, Python, PySpark, Spark, Terraform, Power BI, AtScale, Fabric, Fivetran, HVR, data quality frameworks, observability tooling, and analytics use cases involving AI or machine learning.
Benefits
- Paid time off and 401(k) plans are provided.
- Benefits include affordable health, life, dental, vision, and prescription drug coverage.
- This is an onsite role with a 1st shift schedule in the United States.
- Relocation assistance is not available.
- The role is not eligible for immigration or work authorization support now or in the future.
Tech Stack
Apache AirflowApache SparkdbtGitGoogle BigQueryGoogle CloudGoogle Cloud PlatformIBM DB2PythonSQLTerraform
Categories
Data Engineering
About Tyson Foods, Inc.
Tyson Foods, Inc. is a public food company producing chicken, beef, pork, and prepared foods under brands including Tyson, Jimmy Dean, and Hillshire Farm. It supplies retailers, restaurants, and foodservice distributors in the U.S. and abroad, monetizing through branded and commodity protein sales. Founded in 1935 and headquartered in Springdale, Arkansas, it trades on the NYSE under the ticker TSN.