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
Collects, processes, and analyzes moderately complex datasets to generate insights, builds automated reports and dashboards, performs statistical analysis, validates data quality, and partners with cross-functional teams to support trading and supply chain decision-making.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Designs, develops, deploys, tests, documents, and supports software applications for Cargill Food R&D. Collaborates with product managers, designers, engineers, and cross-functional teams to deliver business solutions. Responsibilities include automation, code and design reviews, debugging, continuous improvement, deployment process optimization, and technical troubleshooting for deployed applications.
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Designs, builds, and maintains complex data systems, infrastructure, pipelines, data models, and analytical solutions. Develops scalable batch and streaming pipelines, data architectures, deployment automation, and governance frameworks. Optimizes data systems and collaborates with analytics teams and stakeholders to deliver accessible, reliable data products for decision-making.
