Consumer Packaged Goods Information and Consulting • Food Industry Expertise • Information Technology • Market Research • Big Data Analytics
November 10
🇺🇸 United States – Remote
🗽 New York – Remote
⏰ Full Time
🟠 Senior
🔙 Backend Engineer
🦅 H1B Visa Sponsor
Consumer Packaged Goods Information and Consulting • Food Industry Expertise • Information Technology • Market Research • Big Data Analytics
• Use your skills to help solve real-world problems, while learning about the food, consumer products, and personalized nutrition ecosystem • Work across the Pinto Services stack using tools and languages like JavaScript/TypeScript, Node.js, MongoDB, GraphQL, AWS • Work with our Research, Nutrition, & Data Analyst teams to gain a deep knowledge of underlying use cases in food data and nutrition • Envision and create new features for our core data platform, which processes large, complex data sets from a variety of sources • Envision and create tools that contribute to and enhance our end-to-end data pipeline • Model, design and implement complex data integrations with our industry partners
• Strong experience with: Node.JS, JavaScript/TypeScript, working with NoSQL databases, building data processes from start to finish • 5+ years of professional software development experience • Bachelor's degree in computer science (or similar) or equivalent practical experience • A track record of shipping high-quality software from start to finish • A solid foundation in computer science fundamentals with sound knowledge of data structures, algorithms, and system design • Comfortable in a fast-paced startup environment • Self-aware and have a desire to learn and improve • Bonus points for Example of code projects you’ve worked on (e.g. GitHub, BitBucket) • Experience with: GraphQL, Amazon Web Services (AWS), MongoDB, building performant distributed systems • Experience working with large, complex data sets from a variety of sources • Experience with or strong interest in data science and/or machine learning • Strong communication skills
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