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Senior Python Developer

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Senior 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.

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.This position reports to:Configuration Manager__The work model for the role is: Onsite #LI-OnsiteYour role and responsibilities:The R&amp;D Sr Product Solution Engineer plays a critical role in shaping ABB’s configurable electric motor portfolio. You will define product solutions, rules and data structures that enable automated configuration and ordering. Ensuring our products are technically robust, cost effective and easy to configure. This role sits at the intersection of engineering, product management and operations, making it ideal for someone who enjoys both technical depth and cross functional collaboration.Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone brings something unique, and together we push ideas forward to solve real problems. Being part of our team means your work matters - because the progress we make here creates real impact out there. You will be mainly accountable for:<ul><li>Define and govern configurable product solutions by analyzing product and business data, establishing product rules, constraints, data entities, and processes that enable automation and scalable configuration.</li><li>Partner cross‑functionally with Product Management, Manufacturing, Quality, and Supply Chain to develop technically sound, cost‑effective solutions optimized for complexity, configurability, and market requirements.</li><li>Own product structure and data integrity by managing classifications, BOMs, parts, modules, and related product information across SAP and connected systems using data extraction and validation tools.</li><li>Lead component and feature realization by determining new component needs, guiding development with R&amp;D and Design, ensuring interface and feature alignment through design reviews, and supporting feature implementation from feasibility through configurable order execution.</li></ul>Qualifications for the role:<ul><li>Bachelor’s degree in Engineering with 5&#43; years of relevant experience, including strong understanding of electric motor products, specifications and manufacturing processes.</li><li>Proven ability to analyze, transform, and validate complex product and business data, demonstrating strong analytical and structured problem‑solving skills.</li><li>Working knowledge of SAP (material master, BOMs, classification) and experience managing product data across enterprise systems.</li><li>Effective cross‑functional collaboration skills, with experience partnering across Product Management, Engineering, Manufacturing, and Operations.</li><li>Preferred Experience Includes: Familiarity with configurable and modular product architectures, industry standards (NEMA/IEC, UL/CSA/IEEE), and enabling tools such as CAD (e.g., SolidWorks, AutoCAD), data analysis platforms (Excel, Power BI, SQL, Python), and project management tools (e.g., Microsoft Project, Monday.com).</li><li>Candidates must already have work authorization that would permit them to work for ABB in the US.</li></ul>More about us:ABB’s NEMA Motors Division is the global leading electric NEMA motors manufacturer. With more than 4,500 employees across the globe and seven manufacturing locations that produce more than 1.6 million motors every year, the division powers its customers from many industries with safe, reliable energy-efficient and effective solutions. NEMA Motors Division is a trusted leader with the shortest lead time and the broadest modularized product offering.What&#39;s in it for you We want you to bring your full self to work—your ideas, your energy, your ambition. You’ll have the tools and freedom to grow your skills, shape your path, and take on challenges that matter. Here, your work creates impact you can see and feel, every day.ABB is an Equal Employment Opportunity and Affirmative Action employer for protected Veterans and Individuals with Disabilities at ABB. All qualified applicants will receive consideration for employment without regard to their- sex (gender identity, gender expression, sexual orientation), marital status, citizenship, age,  race and ethnicity, inclusive of traits historically associated with race or ethnicity, including but not limited to hair texture and protective hairstyles, color, religious creed, national origin, pregnancy, physical or mental disability, genetic information, protected Veteran status, or any other characteristic protected by federal and state law. For more information regarding your (EEO) rights as an applicant, please visit the following websites: <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf</a> As an Equal Employment Opportunity and Affirmative Action Employer for Protected Veterans and Individuals with Disabilities, applicants may request to review the plan of a particular ABB facility between the hours of 9:00 A.M. - 5:00 P.M. EST Monday through Friday by contacting an ABB HR Representative at 1-888-694-7762.  Protected Veterans and Individuals with Disabilities may request a reasonable accommodation if you are unable or limited in your ability to use or access ABB&#39;s career site as a result of your disability. You may request reasonable accommodations by calling an ABB HR Representative at 1-888-694-7762 or by sending an email to <a href="mailto:US-AskHR&#64;abb.com" target="_blank">US-AskHR&#64;abb.com</a>. Resumes and applications will not be accepted in this manner.    ABB Benefit Summary for eligible US employees Go to <a href="https://mybenefits.us.abb.com/" target="_blank">MyBenefitsABB.com</a> and click on “Candidate/Guest” to learn more Health, Life &amp; Disability <ul><li>Choice between two medical plan options: A PPO plan called the Copay Plan OR a High Deductible Health Plan (with a Health Savings Account) called the High Deductible Plan.   </li><li>Choice between two dental plan options: Core and Core Plus </li><li>Vision benefit </li><li>Company paid life insurance (2X base pay) </li><li>Company paid AD&amp;D (1X base pay) </li><li>Voluntary life and AD&amp;D – 100% employee paid up to maximums </li><li>Short Term Disability – up to 26 weeks – Company paid </li><li>Long Term Disability – 60% of pay – Company paid.  Ability to “buy-up” to 66 2/3% of pay. </li><li>Supplemental benefits – 100% employee paid (Accident insurance, hospital indemnity, critical illness, pet insurance </li><li>Parental Leave – up to 6 weeks </li><li>Employee Assistance Program </li><li>Health Advocate support resources for mental/behavioral health, general health navigation and virtual health, and infertility/adoption </li><li>Employee discount program </li></ul>Retirement <ul><li>401k Savings Plan with Company Contributions   </li><li>Employee Stock Acquisition Plan (ESAP)  </li></ul>Time offABB provides 11 paid holidays. Salaried exempt positions are provided vacation under a permissive time away policy.#ABBCareers#RunwithABB#RunwhatrunstheworldBuilding a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That&#39;s why we welcome people from all backgrounds and experiences. Ready to make an impact? Apply today or visit <a target="_blank" href="https://www.abb.com">https://www.abb.com</a> to learn more about the impact of our solutions across the globe.

R&D Sr Product Solution Engineer

Product Solution Engineer

Bachelor’s degree in Engineering, 5+ years experience, SAP, data management, cross‑functional collaboration; US work authorization; CAD/analysis tools.

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