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Lead Python Developer Jobs

Tyson Foods

Onsite

Job Details:<div><div>The Lead IT Data Engineer owns and drives the organization&#39;s data strategy, setting the technical direction for data engineering, enterprise data modeling, and agentic AI adoption. This role is responsible for platform architecture, tool selection, cloud strategy, budget and capacity planning, and the design of enterprise AI agent systems — all while establishing governance frameworks for responsible data and AI practices and mentoring the engineering team. </div><div>Essential Duties and Responsibilities </div><div><ul><li>Own and drive the overall data strategy, including the multi-quarter technical roadmap, platform architecture, and data engineering standards. </li></ul></div></div><div><div><ul><li>Architect end-to-end data solutions across cloud platforms (AWS, GCP, or Azure), setting standards for orchestration (Airflow, Dagster), transformation (dbt), streaming (Kafka, Flink), and storage (Delta Lake, Iceberg, Snowflake, BigQuery). </li></ul></div><div><ul><li>Own the enterprise data modeling strategy — crafting scalable models using dimensional, multi-dimensional, and advanced normalization techniques, with enterprise-wide documentation and metadata governance. </li></ul></div><div><ul><li>Define API design standards and data contracts to ensure reliable, well-governed interfaces between data producers and consumers. </li></ul></div><div><ul><li>Establish enterprise-level data governance, security, and compliance frameworks across all data and AI systems, including access controls, cataloging, and lineage. </li></ul></div><div><ul><li>Define and enforce CI/CD standards for data pipelines, containerized architectures (Docker, K8s), and infrastructure as code (Terraform). </li></ul></div><div><ul><li>Drive data observability practices and platform reliability at enterprise scale. </li></ul></div><div><ul><li>Drive build-vs-buy evaluations for data and AI tools, considering TCO, vendor lock-in, scalability, and organizational fit; manage vendor relationships. </li></ul></div><div><ul><li>Own or co-own infrastructure budget and capacity planning for data platform resources; optimize cloud costs at the organizational level. </li></ul></div><div><ul><li>Define and drive the organization&#39;s agentic AI strategy, architecting enterprise- scale multi-agent systems, autonomous data pipelines, and RAG/knowledge graph platforms. </li></ul></div><div><ul><li>Establish AI governance frameworks, including ethics policies, bias detection, safety guardrails, security standards (prompt injection, data exfiltration, PII), and compliance with emerging regulations (e.g., EU AI Act). </li></ul></div><div><ul><li>Establish LLMOps practices at scale — model deployment, prompt versioning, A/B testing, performance monitoring, drift detection, and cost optimization. </li></ul></div><div><ul><li>Design human-in-the-loop escalation paths for critical AI-driven decisions, ensuring appropriate oversight. </li></ul></div><div><ul><li>Lead AI platform evaluation and integration, including TCO analysis, data residency, and SLA requirements for agentic frameworks. </li></ul></div><div><ul><li>Set software engineering best practices — code review standards, design patterns, technical debt management, and documentation. </li></ul></div><div><ul><li>Advocate for and lead adoption of data mesh and data-as-a-product principles. </li></ul></div><div><ul><li>Mentor the engineering team on data engineering, data modeling, and AI best practices. </li></ul></div><div><ul><li>Perform other assigned job-related duties that align with our organization&#39;s vision, mission, and values and fall within your scope of practice. </li></ul></div><div>Qualifications </div><div>Education: Bachelor&#39;s Degree or relevant experience. </div><div>Preferred Certification(s): AWS Solutions Architect Professional, Google Professional </div></div><div><div>Data Engineer, Azure Solutions Architect Expert, Databricks Certified Data Engineer </div><div>Professional, or equivalent. </div><div>Experience: 5&#43; years of relevant and practical experience. </div><div>Special Skills </div><div><ul><li>Expert proficiency in Python and SQL for data engineering at scale. </li></ul></div><div><ul><li>Expertise in modern data platforms (Databricks, Snowflake, BigQuery), lakehouse architectures (Delta Lake, Iceberg), and streaming (Kafka, Flink, Pub/Sub). </li></ul></div><div><ul><li>Deep expertise in at least one major cloud platform with cross-cloud awareness. </li></ul></div><div><ul><li>Mastery of orchestration, transformation (dbt), containerization (Docker, K8s), and IaC (Terraform). </li></ul></div><div><ul><li>Advanced enterprise data modeling, warehousing, data contracts, and API design. </li></ul></div><div><ul><li>Expertise in CI/CD, data observability, governance, data mesh, and platform reliability. </li></ul></div><div><ul><li>Experience in technical roadmap ownership, build-vs-buy evaluation, and budget/capacity planning. </li></ul></div><div><ul><li>Expert-level knowledge of agentic AI architectures, LLMOps, RAG, knowledge graphs, and AI governance/safety/security. </li></ul></div><div>Soft Skills </div><div><ul><li>Leadership: Owning and driving data and AI strategy across the organization. </li></ul></div><div><ul><li>Strategic Vision: Translating business objectives into actionable technical roadmaps. </li></ul></div><div><ul><li>Stakeholder Management: Building relationships with partners and executive leadership. </li></ul></div><div><ul><li>Communication: Presenting complex data and AI concepts to board-level audiences. </li></ul></div><div><ul><li>Mentorship: Developing the data engineering team&#39;s data and AI competencies. </li></ul></div><div><ul><li>Decision-Making: Making high-impact choices on architecture, platforms, and investments. </li></ul></div><div><ul><li>Change Management: Guiding the organization through data and AI transformations. </li></ul></div></div><div><div><ul><li>Innovation &amp; Thought Leadership: Driving industry best practices in data engineering, modeling, and agentic AI. </li></ul></div><div><ul><li>Negotiation: Balancing technical requirements with business needs and resource constraints. </li></ul>** Not eligible for visa sponsorship now or in the future **** Not eligible for relocation assistance **</div></div>Relocation Assistance Eligible:NoWork 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 <a href="https://www.tysonfoods.com/careers" target="_blank">here</a>.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.

Lead IT Data Engineer (SQL/Python)

Lead IT Data Engineer

Leads data strategy, cloud data platforms, governance, CI/CD for data pipelines, and agentic AI initiatives; 5+ years experience; Python/SQL; Databricks/Snowflake/BigQuery.

Job Details:Lead Development Engineers are senior-level professionals with advanced expertise in software development. They lead and oversee complex software development projects, provide technical guidance and mentorship to development teams, and drive the adoption of best practices and technologies. Lead Development Engineers also collaborate with stakeholders to define project requirements, manage project timelines and resources, and ensure the successful delivery of software products. Essential Duties and Responsibilities: • Designs software architecture. Delivers high-complexity development tasks as part of a team. Leads and influences in collaborative meetings with peers and stakeholders. Leads interaction with stakeholders to create requirements and demonstrate work. Documents code. Establishes software product engineering best practices as it relates to software development. Reviews and corrects others. • Works independently with limited supervision to perform work. • Act as a knowledge resource within the team. Leads and defines priorities for projects or processes. • Applies judgment and experience to identify resolution. Ability to make timely decisions and to take action. • Expected to be a productive leader by example of a team that designs and improves processes, procedures, and platforms. • Perform other assigned job-related duties that align with our organization&#39;s vision, mission, and values and fall within your scope of practice. Design and Development: • Designing, coding, and debugging applications in various software languages or tools. • Developing software solutions by studying information needs, conferring with users, and studying systems flow, data usage, and work processes. Testing and Maintenance: • Performing unit testing and integration testing. • Maintaining and improving existing codebases and peer review code changes. • Troubleshooting and resolving software defects and issues. Collaboration: • Collaborating with cross-functional teams, including product managers, designers, and other engineers, to define, design, and ship new features. • Participating in code reviews and providing constructive feedback to peers. Documentation: • Writing and maintaining technical documentation to describe program development, logic, coding, testing, changes, and corrections. Research and Development: • Keeping up to date with the latest industry trends and technologies to ensure the company remains competitive. • Conducting research to discover new technologies and tools to improve efficiency and performance. Project Management: • Participating in project planning, including estimating timeframes and resource requirements. • Managing tasks and deadlines to ensure timely delivery of projects. Security and Compliance: • Ensuring software security and compliance with industry standards and regulations. • Implementing data protection and security measures. Customer Interaction: • Interacting with customers or end-users to gather requirements and provide support. • Translating customer requirements into technical specifications. Continuous Improvement: • Continuously improving development processes and methodologies. • Engaging in continuous learning and professional development. Qualifications: Education: Bachelor’s, Master’s Degree, or a significant amount of relevant experience. Computer Science, Computer Engineering, Information Systems, Quantitative or Engineering Field preferred. Experience: 5&#43; years in Supply Chain Planning or Supply Chain Management, with a strong understanding of demand planning, inventory optimization, production scheduling, or S&amp;OP processes.Hands‑on development experience in Palantir Foundry (Ontology, Code Repositories, Workshop, or data pipeline development) or equivalent experience building data‑driven applications, or, Proficiency in modern programming languages, including:<ul><li>Python for data transformation, analytics, and application logic</li><li>C&#43;&#43; for performance‑critical components</li><li>JavaScript and React for building interactive front‑end applications</li><li>SQL for querying, modeling, and optimizing large datasets</li></ul> Special Skills: • Programming (expert in multiple languages or software tools) • Expert in multiple front-end and back-end frameworks • Expert in Data Engineering • Design patterns for Infrastructure as Code (IaC) • Design patterns with Version Control, DevOps &amp; CICD • Proficient in Monitoring and Alerting • Technical Writing and Diagramming • Analysis (Technical, Business, or Data) Soft Skills: • Communication: Leading and influencing in collaborative meetings. • Leadership: Providing technical guidance and mentorship to development teams with best practices. • Problem-solving: Designing software architecture and delivering high-complexity tasks. • Decision-making: Applying judgment and experience to identify resolutions • Emotional Intelligence: Understanding and motivating team members. • Mentorship: Fostering the growth and development of the development engineering team. • Change Management: Guiding the organization through development-related transformations. • Strategic Vision: Aligning development initiatives with long-term business objectives.** Not eligible for visa sponsorship now or in the future **** Not eligible for relocation assistance **Relocation Assistance Eligible:NoWork 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 <a href="https://www.tysonfoods.com/careers" target="_blank">here</a>.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.

Lead Development Engineer (Supply Chain)

Lead Development Engineer

Senior software development lead with 5+ years in supply chain; Palantir Foundry or data-driven apps experience; proficiency in Python, C++, JavaScript/React, and SQL.

Job Details:Job SummaryThe Senior Data Engineer is a technical leader responsible for designing and building scalable data solutions, including real-time data pipelines, data models, and advanced data architectures that support operational and strategic decision-making. This role requires strong expertise in data engineering fundamentals such as data streaming, pipeline orchestration, and performance optimization, while also ensuring cost efficiency and data security across systems.In addition to core engineering responsibilities, this role partners closely with business stakeholders and IT to deliver production-ready, business-facing data solutions. The Senior Data Engineer will play a key role in evolving the team’s capabilities toward AI-driven insights and automation, enabling more intelligent and proactive decision-making across warehousing and logistics operations.Essential Duties and Responsibilities<ul><li>Architect scalable data solutions, including data warehousing and real-time data processing, aligned with business and operational goals.</li><li>Lead the design and orchestration of complex data pipelines and ETL/ELT processes, optimizing for performance, scalability, and reliability.</li><li>Build and support data foundations that enable advanced analytics, predictive insights, and automation use cases.</li><li>Collaborate with analysts and business stakeholders to develop and operationalize advanced analytics solutions, ensuring data is structured and accessible for modeling and decision-making.</li><li>Identify and implement opportunities to automate manual business processes through data workflows and intelligent solutions.</li><li>Work closely with warehousing and logistics teams to translate operational challenges into scalable data solutions.</li><li>Develop data products that improve visibility into service, inventory, labor, and operational performance.</li><li>Collaborate with IT teams to align on architecture, security, and data standards while maintaining ownership of business-facing analytics solutions.</li><li>Implement data governance frameworks and ensure secure handling of sensitive data, including row-level and column-level security.</li><li>Optimize cloud and compute usage through efficient data design and resource management.</li><li>Collaborate with analysts and business stakeholders to design and maintain scalable data models that enable reporting and dashboards used for operational and strategic decision-making.</li><li>Lead complex initiatives, mentor team members, and drive best practices in data engineering and solution design.</li><li>Communicate effectively with technical and non-technical stakeholders to deliver impactful solutions.</li><li>Perform other assigned job-related duties aligned with organizational goals and team objectives.</li></ul>EducationBachelor’s or Master’s degree in Business, Analytics, Data Science, Supply Chain Management, or a related field preferred. Equivalent experience may be considered.Experience3&#43; years of relevant experience in data engineering, analytics engineering, or related fields, with demonstrated experience delivering end-to-end data solutions in a business-facing environment.Special Skills<ul><li>Strong experience with data pipeline development, data modeling, and scalable data architecture.</li><li>Experience with real-time or near real-time data processing is a plus.</li><li>Understanding of data security, governance, and access control best practices.</li><li>Exposure to or interest in AI/ML concepts, data preparation for modeling, or intelligent automation workflows.</li><li>Ability to work with structured, semi-structured, and unstructured data to support advanced analytics use cases.</li><li>Experience building data products, tools, or workflows that directly support business operations.</li><li>Experience or familiarity with supply chain, logistics, or warehouse operations is strongly preferred.</li></ul>Soft Skills<ul><li>Business Partnership: Ability to work directly with operations teams to understand needs and deliver practical solutions.</li><li>Ownership: Takes initiative to identify opportunities and drive solutions from concept to implementation.</li><li>Problem-Solving: Comfortable working in ambiguous environments and translating business problems into technical solutions.</li><li>Communication: Bridges the gap between business stakeholders, analytics teams, and IT.</li><li>Adaptability: Eagerness to learn and apply new technologies, particularly in AI and automation.</li><li>Mentorship: Guides and develops junior team members.</li></ul>This role is ideal for someone who enjoys building practical, business-facing data solutions and is excited to help evolve traditional analytics into AI-enabled and automated capabilities.* RESUME REQUIRED TO BE CONSIDERED FOR THIS ROLE *Relocation Assistance Eligible:NoWork 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 <a href="https://www.tysonfoods.com/careers" target="_blank">here</a>.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.

Senior Data Engineer – Warehousing Analytics

Senior Data Engineer

Lead design of scalable data solutions, real-time pipelines, data governance; 3+ years in data/analytics engineering; collaborate with stakeholders; AI-enabled automation experience preferred.

Senior software development lead with 5+ years in supply chain planning, Palantir Foundry or data-driven apps, and proficiency in Python, C++, JavaScript/React, SQL.

Lead data engineering role overseeing data strategy, platform architecture, and governance; 5+ years experience in data engineering and AI initiatives.

Internal Management &amp; Management Support Applicants: Automatic notification to your current manager will be initiated upon selection for interview. This applies to all current P or M level candidates.Relocation Assistance Eligible:NoReferral Payout Eligible:YesContinue 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<div><div>The Lead IT Data Engineer owns and drives the organization&#39;s data strategy, setting the technical direction for data engineering, enterprise data modeling, and agentic AI adoption. This role is responsible for platform architecture, tool selection, cloud strategy, budget and capacity planning, and the design of enterprise AI agent systems — all while establishing governance frameworks for responsible data and AI practices and mentoring the engineering team. </div><div>Essential Duties and Responsibilities </div><div><ul><li>Own and drive the overall data strategy, including the multi-quarter technical roadmap, platform architecture, and data engineering standards. </li></ul></div></div><div><div><ul><li>Architect end-to-end data solutions across cloud platforms (AWS, GCP, or Azure), setting standards for orchestration (Airflow, Dagster), transformation (dbt), streaming (Kafka, Flink), and storage (Delta Lake, Iceberg, Snowflake, BigQuery). </li></ul></div><div><ul><li>Own the enterprise data modeling strategy — crafting scalable models using dimensional, multi-dimensional, and advanced normalization techniques, with enterprise-wide documentation and metadata governance. </li></ul></div><div><ul><li>Define API design standards and data contracts to ensure reliable, well-governed interfaces between data producers and consumers. </li></ul></div><div><ul><li>Establish enterprise-level data governance, security, and compliance frameworks across all data and AI systems, including access controls, cataloging, and lineage. </li></ul></div><div><ul><li>Define and enforce CI/CD standards for data pipelines, containerized architectures (Docker, K8s), and infrastructure as code (Terraform). </li></ul></div><div><ul><li>Drive data observability practices and platform reliability at enterprise scale. </li></ul></div><div><ul><li>Drive build-vs-buy evaluations for data and AI tools, considering TCO, vendor lock-in, scalability, and organizational fit; manage vendor relationships. </li></ul></div><div><ul><li>Own or co-own infrastructure budget and capacity planning for data platform resources; optimize cloud costs at the organizational level. </li></ul></div><div><ul><li>Define and drive the organization&#39;s agentic AI strategy, architecting enterprise- scale multi-agent systems, autonomous data pipelines, and RAG/knowledge graph platforms. </li></ul></div><div><ul><li>Establish AI governance frameworks, including ethics policies, bias detection, safety guardrails, security standards (prompt injection, data exfiltration, PII), and compliance with emerging regulations (e.g., EU AI Act). </li></ul></div><div><ul><li>Establish LLMOps practices at scale — model deployment, prompt versioning, A/B testing, performance monitoring, drift detection, and cost optimization. </li></ul></div><div><ul><li>Design human-in-the-loop escalation paths for critical AI-driven decisions, ensuring appropriate oversight. </li></ul></div><div><ul><li>Lead AI platform evaluation and integration, including TCO analysis, data residency, and SLA requirements for agentic frameworks. </li></ul></div><div><ul><li>Set software engineering best practices — code review standards, design patterns, technical debt management, and documentation. </li></ul></div><div><ul><li>Advocate for and lead adoption of data mesh and data-as-a-product principles. </li></ul></div><div><ul><li>Mentor the engineering team on data engineering, data modeling, and AI best practices. </li></ul></div><div><ul><li>Perform other assigned job-related duties that align with our organization&#39;s vision, mission, and values and fall within your scope of practice. </li></ul></div><div>Qualifications </div><div>Education: Bachelor&#39;s Degree or relevant experience. </div><div>Preferred Certification(s): AWS Solutions Architect Professional, Google Professional </div></div><div><div>Data Engineer, Azure Solutions Architect Expert, Databricks Certified Data Engineer </div><div>Professional, or equivalent. </div><div>Experience: 5&#43; years of relevant and practical experience. </div><div>Special Skills </div><div><ul><li>Expert proficiency in Python and SQL for data engineering at scale. </li></ul></div><div><ul><li>Expertise in modern data platforms (Databricks, Snowflake, BigQuery), lakehouse architectures (Delta Lake, Iceberg), and streaming (Kafka, Flink, Pub/Sub). </li></ul></div><div><ul><li>Deep expertise in at least one major cloud platform with cross-cloud awareness. </li></ul></div><div><ul><li>Mastery of orchestration, transformation (dbt), containerization (Docker, K8s), and IaC (Terraform). </li></ul></div><div><ul><li>Advanced enterprise data modeling, warehousing, data contracts, and API design. </li></ul></div><div><ul><li>Expertise in CI/CD, data observability, governance, data mesh, and platform reliability. </li></ul></div><div><ul><li>Experience in technical roadmap ownership, build-vs-buy evaluation, and budget/capacity planning. </li></ul></div><div><ul><li>Expert-level knowledge of agentic AI architectures, LLMOps, RAG, knowledge graphs, and AI governance/safety/security. </li></ul></div><div>Soft Skills </div><div><ul><li>Leadership: Owning and driving data and AI strategy across the organization. </li></ul></div><div><ul><li>Strategic Vision: Translating business objectives into actionable technical roadmaps. </li></ul></div><div><ul><li>Stakeholder Management: Building relationships with partners and executive leadership. </li></ul></div><div><ul><li>Communication: Presenting complex data and AI concepts to board-level audiences. </li></ul></div><div><ul><li>Mentorship: Developing the data engineering team&#39;s data and AI competencies. </li></ul></div><div><ul><li>Decision-Making: Making high-impact choices on architecture, platforms, and investments. </li></ul></div><div><ul><li>Change Management: Guiding the organization through data and AI transformations. </li></ul></div></div><div><div><ul><li>Innovation &amp; Thought Leadership: Driving industry best practices in data engineering, modeling, and agentic AI. </li></ul></div><div><ul><li>Negotiation: Balancing technical requirements with business needs and resource constraints. </li></ul>** Not eligible for visa sponsorship now or in the future **** Not eligible for relocation assistance **</div></div>Work Shift:1ST SHIFT (United States of America)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.<div><div><div><div><div><div><div><div><div><div><div><div><div><div>CCPA Notice. If you are a California resident, and would like to learn more about what categories of personal information we collect when you apply for this job, and how we may use that information, please read our CCPA Job Applicant Notice at Collection, <a href="https://www.tysonfoods.com/sites/default/files/2020-07/CCPA%20applicant%20notification.pdf" target="_blank">click here</a>.</div></div></div></div></div></div></div></div></div></div></div></div></div></div>

5+ years of data engineering experience; strong Python and SQL; cloud data platforms; governance and AI/ML focus; leadership.

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