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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: Work is consistently framed around nourishing the world and sustainability, with data engineers building products that impact supply chains, decarbonization, and real‑world operations at global scale. The “impact at a scale you’ve never imagined” narrative and visible domain use cases make purpose tangible in day‑to‑day work.
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Team Support: Colleagues are often described as collaborative and supportive across time zones, with mentoring, brainstorming, and Business Resource Groups embedded in how teams operate. This people‑centric ethos shows up in daily stand‑ups, approachable managers, and an emphasis on inclusion and psychological safety.
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Learning & Development: Company materials highlight rotations, mentorship, communities of practice, and exposure to modern cloud/data stacks (e.g., AWS, Snowflake, Kafka, Spark) as part of the role. Engineers are encouraged to develop new skills, lead, and experiment within product‑oriented platform work.
Recently posted jobs
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Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Designs, develops, tests, deploys, documents, and supports scalable software applications. Collaborates with product managers, designers, business stakeholders, and engineering teams to deliver features, automate deployments, troubleshoot complex issues, and improve development processes. Required experience includes Java, Spring Boot, React, modern software engineering practices, automated testing, CI/CD, source control, and independently driving solutions from requirements through production.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Designs, develops, maintains, and improves scalable software applications and systems. Leads AI adoption across software deployment automation, collaborates with product and engineering teams, troubleshoots complex issues, participates in code reviews, and documents applications and deployment processes. Creates training, demonstrations, workshops, playbooks, reusable patterns, and use cases to help engineering teams and business stakeholders adopt AI solutions.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Analyzes moderately complex datasets to support corporate audit objectives, including control effectiveness, operational and IT risk assessment, anomaly detection, and audit findings. Builds automated reports, dashboards, and visualizations; validates data accuracy and integrity; identifies process improvements; and collaborates with auditors, data engineering, and technology teams. Requires knowledge of audit, risk, Finance or IT processes, with preferred experience in Power BI, Tableau, SQL, Python, ERP systems, and AI tools.
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.
