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Work across Pinto's web stack to design, build, and maintain features and tools for a product data and analytics platform. Implement interfaces, data integrations, and pipeline automation using React, Node.js, GraphQL, and MongoDB. Collaborate with research and data teams and iterate on systems processing large, complex food product datasets.

Develop and improve Pinto's web data platform across frontend and backend. Build features, data integrations, and tools to process and visualize large, complex product datasets. Automate and maintain end-to-end data pipelines, collaborate with research and analytics teams, and own initiatives from ideation through shipping and iteration.

Design, build, and improve Pinto's backend data platform and pipelines using Node.js/TypeScript, MongoDB, GraphQL, and AWS. Collaborate with research and data teams to integrate, process, and model large, complex product datasets, deliver new features, and ship production-quality services.

Design, build, and improve Pinto's backend data platform using Node.js/TypeScript. Collaborate with research and data teams to implement data pipelines, integrations, and features that process large, complex product and nutrition datasets. Lead initiatives end-to-end, ensure system performance and reliability, and iterate on production services.