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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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Team Support: Colleagues are often seen as collaborative and supportive, with standups, design reviews, mentoring, and brainstorming that help avoid silos. Feedback suggests DT&D teams work cross-functionally and “have your back,” reinforcing day-to-day problem-solving.
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Mission & Purpose: Work is closely tied to real operations across supply chains, manufacturing, sustainability, and trading, creating a clear line of sight to business outcomes. Feedback suggests engineers see their pipelines and data products enabling decisions that matter at global scale.
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Learning & Development: Learning and internal mobility are emphasized through training, hands-on learning, and rotations across Data, Platform, and Application teams. Feedback suggests engineers routinely pick up new technologies as part of their roles.
Recently posted jobs
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Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Builds and maintains software systems supporting trading operations. Responsibilities include developing React and backend applications, integrating market data and messaging systems, automating testing and deployments, debugging high-volume trading systems, improving reliability and scalability, documenting architecture, and providing production support. The role collaborates with traders and analysts, participates in Agile ceremonies and code reviews, mentors colleagues, and independently delivers features from design through production.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Develops and maintains software applications using Java, Spring, Spring Boot, microservices, databases, and APIs. Responsibilities include automating deployments, collaborating with cross-functional teams, writing unit and integration tests, debugging complex issues, improving development processes, documenting systems, and providing technical support. Requires a computer science degree, 1–3 years of relevant experience, and knowledge of software design, data structures, algorithms, and system design.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Designs, develops, and maintains scalable batch and real-time data pipelines, ETL/ELT workflows, data models, and cloud data platforms. Ensures data quality, governance, security, observability, and performance while supporting cloud modernization. Collaborates with product owners, architects, business stakeholders, and data scientists, and maintains technical documentation, lineage, monitoring, and operational runbooks.
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.
