.png)
.png){kind=logo}
Cargill
.png)
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.
Close
What People Are Saying About Cargill
-
Mission & Purpose: Work is frequently tied to food security, sustainability, and real‑world supply chains, giving data engineers a clear line of sight to impact. Feedback suggests this purpose orientation is a motivating throughline across data products and platforms.
-
Team Support: Colleagues are often seen as collaborative, with an explicit norm that data engineering is not a solo effort and that communication resolves many issues before code. Mentoring and knowledge‑sharing for new and junior engineers are called out as routine.
-
Learning & Development: Teams highlight growth paths, rotational programs, and hands‑on exposure to modern cloud and lakehouse stacks. Feedback suggests engineers can broaden skills across domains while receiving coaching from senior leaders.
Recently posted jobs
.png){kind=logo}
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Validate end-to-end data flows and risk reporting from source systems into Aurora/PostgreSQL. Test ETL/ELT pipelines, CDC and ingestion scenarios, develop automated tests (Python), execute functional/regression/integration tests, support high-volume EOD validation, log and track defects, and collaborate with engineers and analysts to ensure data accuracy and alignment with business logic.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Design, develop, and execute SAP test strategies (ECC, S/4HANA, Fiori) across Unit, SIT, UAT, regression, and performance testing. Build and maintain manual and automated test cases using Tricentis TOSCA, integrate automation into CI/CD pipelines, manage defect lifecycle, collaborate with ERP/DevOps teams, and document testing tools and processes.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Design, develop, and maintain full-stack Strategic Pricing applications. Build React/TypeScript front ends and Spring Boot/Python back ends, write tests, automate deployments (CI/CD), integrate event-driven/pub-sub systems (Kafka), optimize performance and scalability, produce documentation, and provide technical support and code reviews to uphold engineering standards.
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.
