{"id":980940,"url":"https://alion.io/job/tyson-foods-lead-it-data-engineer-onsite","title":"Lead IT Data Engineer -Onsite","company":{"id":46492,"name":"Tyson Foods","domain":"tysonfoods.com","url":"https://alion.io/company/tysonfoods","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":77,"ghost_share":0.013,"stale_share":0.351,"repost_share":0.117,"time_to_fill_p50_days":13,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Springdale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":175000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"Db2","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-16T20:56:42Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-11-02T12:17:10Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"Job Details:\nTyson Foods is seeking a Lead IT Data Engineer to support the Beef & Pork Analytics team. This role will lead the design, development, governance, and operational support of enterprise data solutions that enable Fresh Meats reporting, analytics, and decision-making. The Lead IT Data Engineer will work across business and technology teams to deliver trusted data products for critical analytics use cases, Fresh Meats data lake capabilities, Power BI reporting, and other Beef & Pork business priorities.\nThis position is expected to be a hands-on technical leader who can translate complex business needs into scalable data architecture, build and support cloud-based data pipelines, strengthen data quality and observability, and help ensure analytics solutions are secure, governed, reusable, and production-ready. The role requires strong partnership with product managers, business SMEs, data stewards, data governance partners, engineers, analysts, support teams, and platform teams to deliver data solutions that are accurate, traceable, and aligned to enterprise standards.\nEssential Duties and Responsibilities:\nLead 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.\nTranslate business requirements, report needs, KPIs, functional specifications, and validation criteria into scalable data models, pipelines, transformations, and analytics-ready datasets.\nDevelop, enhance, and support data products that enable Fresh Meats reporting use cases.\nBuild and orchestrate complex ETL/ELT pipelines using approved enterprise patterns, automation, dependency management, monitoring, alerting, and production support practices.\nSupport DB2, SAP, USDA, and other internal or external data-source integrations into Data@Tyson/GCP, including replication, freshness monitoring, reconciliation, and exception handling.\nDesign data solutions for reuse across analytics projects by applying shared dimensions, conformed business definitions, enterprise business terms, and scalable modeling practices.\nImplement 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.\nPartner 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.\nSupport Collibra-related workflows by ensuring tables, fields, lineage, classifications, and business terms are identified, reviewed, and maintained as part of the delivery process.\nLead data quality, reconciliation, and observability practices so issues are detected proactively and can be traced from source systems through GCP layers and reporting outputs.\nParticipate in and lead architecture reviews, data model reviews, GitLab merge request readiness, release planning, production promotion, and change approval activities.\nProvide operational support for Beef & Pork Analytics products, including incident triage, service requests, data lake freshness issues, access/security questions, pipeline failures, and production reporting impacts.\nCoordinate with business and IT stakeholders during issue resolution by communicating impact, status, root cause, remediation steps, and validation results in a clear and timely manner.\nMentor data engineers and analysts in SQL, GCP, dbt, orchestration, data modeling, testing, documentation, support practices, and enterprise governance expectations.\nManage technical relationships with internal platform teams, vendors, and third-party partners when tools, integrations, or platform capabilities are needed to meet business needs.\nPerform other assigned job-related duties that align with the organization’s vision, mission, values, and scope of practice. 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. 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 Technical Skills:\nStrong SQL skills and experience developing analytical datasets for enterprise reporting, dashboards, semantic models, and downstream analytics consumption.\nHands-on experience with cloud data platforms, preferably GCP and BigQuery, or comparable cloud data technologies.\nExperience designing and supporting multi-layer data architectures such as lake, hub, curated, analytics, semantic, dimensional, star-schema, or medallion-style models.\nExperience with ETL/ELT development, orchestration, pipeline monitoring, job dependencies, failure handling, and production support.\nExperience working with source-system data, preferably including ERP, mainframe, DB2, SAP, manufacturing, sales, finance, pricing, or commodity-related datasets.\nUnderstanding of data governance, metadata, business terminology, lineage, stewardship workflows, data classification, and controlled promotion into production.\nExperience implementing or supporting data security controls, including role-based, row-level, and column-level access patterns.\nExperience with Git-based development, merge requests, code review, deployment discipline, testing evidence, and change approval documentation.\nExperience with Kimball data warehouse methodology in a medallion raw-cleansed-curated data architecture\nAbility to lead technical design discussions, identify risks, challenge assumptions, and recommend scalable, supportable solutions.\nPreferred Technical Skills:\nExperience with GCP services such as BigQuery, Cloud Storage, Dataproc, Pub/Sub, Composer/Airflow, Dataflow, or related tools.\nExperience with dbt, Python, PySpark, Spark, Terraform, CI/CD, or other modern data engineering technologies.\nExperience with Power BI, AtScale, semantic layer design, Fabric capacity awareness, or enterprise reporting consumption patterns.\nExperience with Fivetran, HVR, CDC, data replication, freshness checks, or source-to-cloud ingestion monitoring.\nExperience supporting USDA, commodity pricing, sales realization, profitability, finance, supply chain, order/invoice, customer, product, or manufacturing analytics.\nExperience with data quality frameworks, automated reconciliation routines, observability tooling, or audit-ready validation practices.\nExperience supporting AI, machine learning, automation, or advanced analytics use cases through trusted and well-modeled data assets. Soft Skills:\nTechnical Leadership: Serves as a senior technical contributor who can lead complex engineering work while coaching others toward durable, governed solutions.\nBusiness Partnership: Builds strong relationships with business SMEs, product managers, analysts, data stewards, and platform teams to deliver analytics that solve real business problems.\nExecution Ownership: Drives work from discovery and design through development, validation, production deployment, support, and continuous improvement.\nCommunication: Explains complex data concepts, technical tradeoffs, risks, timelines, dependencies, and decisions to both technical and non-technical stakeholders.\nDetail Orientation: Values accuracy, traceability, and documentation, especially for business-critical reporting, validation, issue resolution, and audit-sensitive processes.\nStrategic Thinking: Aligns data architecture and engineering choices to business outcomes, reuse, governance, security, performance, and long-term maintainability.\nMentorship: Develops engineers and analysts by reinforcing SQL quality, modeling standards, documentation, testing, support readiness, and problem-solving discipline.\nChange Management: Helps teams adopt new data patterns, cloud practices, governance expectations, and proactive production support behaviors.\n** Not eligible for immigration or work authorization support now or in the future **\n** Not eligible for relocation assistance **\nAll professional team members are expected to demonstrate responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs. Individual Contributors should demonstrate the ability to integrate AI into daily work, improve efficiency through AI-enabled solutions, evaluate outputs critically, and apply professional judgment when using AI. People Leaders should demonstrate the ability to drive responsible AI adoption, enable effective use of approved solutions, identify opportunities to improve team performance through AI, and ensure accountability for the quality and accuracy of AI-supported outcomes.Relocation Assistance Eligible:\nNoWork Shift:\n1ST 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.\nHourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.\nThe successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.\nTyson 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.\nWe 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.\nIf you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Noticehere .\nUnsolicited 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. 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