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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Cargill
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Teams at Cargill
Cargill Data Engineering Team
Atlanta
In 2024, Cargill launched a new office hub in midtown Atlanta with a goal of harnessing the area’s rich pool of technical talent and expertise needed to drive our digital transformation. Employees working at this facility help create digital solutions that power our global food supply chain, harness analytics and artificial intelligence to open new markets, and drive technical innovation to make our food system more sustainable and accessible.
Bengaluru
Cargill’s Bengaluru India Capability Center (ICC) plays a vital role in advancing the company’s global strategy. As a hub for digital and data innovation, the ICC is a strategic engine powering growth with customers, strengthening core operations, and exploring new and emerging markets. The Bengaluru team exemplifies Cargill’s commitment to people, purpose, and collaboration. The team’s work is central to bringing Cargill’s digital strategy to life and shaping the future of food and agriculture.
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.
