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Cargill
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All Teams
Cargill Data Engineering Team
Every day, Cargill’s data engineers turn complexity into clarity, transforming information into actionable insights that drive our teams forward. Whether solving technical challenges with data modeling, mentoring the next generation, or building resilient systems, they embody the collaboration, curiosity and innovation that define Cargill.
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What People Are Saying About Cargill
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Mission & Purpose: Data engineers connect pipelines and platforms to outcomes in food safety, sustainability, and global supply chains, with work repeatedly framed as purpose‑driven. Feedback suggests this clear line of sight to real‑world impact is a core motivator within DT&D.
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Team Support: Colleagues are often seen collaborating through daily standups, brainstorming, mentoring, and cross‑functional teaming rather than working in silos. Feedback suggests hubs like Atlanta amplify networking and problem‑solving across data engineering groups.
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Innovation & Products: Teams are actively modernizing stacks with AWS, Snowflake, governed data products, APIs, and standardized orchestration, pairing platform engineering with domain delivery. Feedback suggests engineers gain exposure to AI‑adjacent work and productized data used by internal and external stakeholders.
Recently posted jobs
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Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
The Senior Platform Engineer designs, develops, and maintains technology infrastructure for IT applications, collaborates with teams for new features, and ensures high software quality through testing and debugging.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
The Principal, Architecture leads the development of frameworks aligning IT infrastructure with business processes, improves efficiency, and implements architecture improvements through strategic collaboration.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Lead design, build, deployment and support of AI assistants, agentic workflows, and automation. Architect Python microservices, LLM/RAG and vector-search solutions, ensure security, observability, and production reliability, and collaborate across product and engineering teams to operationalize GenAI solutions.
At a glance
a day in the life
A Day in the Life of Our Data Engineers Across the Globe. From morning pipeline checks to afternoon data integrations, our engineers keep data flowing and insights sharp. Yuliia starts by double-checking a pipeline to prevent bottlenecks. Gaby builds a dashboard combining sales, animal health, and customer needs. William joins a stand-up to align on priorities. Yuliia collaborates with her team to tackle complex challenges. William writes a script to update a massive database. Yuliia reviews her team’s work for accuracy, and Gaby wraps up the day building pipelines with external data streams. Each moment reflects their dedication to turning data into impact.
problems we solve
Cargill’s data engineering team strengthens food security by optimizing supply chains. Through serving our customers with business intelligence, we help reduce waste, improve efficiency and keep operations running smoothly. Our engineers build data pipelines with streams of external data like market trends, competitor analysis and real time market sources. These valuable insights assist our teams and customers in making informed and strategic decisions.
