Backend Software Engineer

November 10

🇺🇸 United States – Remote

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

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Consumer Packaged Goods Information and Consulting • Food Industry Expertise • Information Technology • Market Research • Big Data Analytics

201 - 500 employees

🛒 Retail

🛍️ eCommerce

☁️ SaaS

💰 Private Equity Round on 2021-01

Description

• You'll use your skills to help solve real-world problems, while learning about the food, consumer products, and personalized nutrition ecosystem • You'll work across the Pinto Services stack using tools and languages like JavaScript/TypeScript, Node.js, MongoDB, GraphQL, AWS • You'll work with our Research, Nutrition, & Data Analyst teams to gain a deep knowledge of underlying use cases in food data and nutrition • You'll envision and create new features for our core data platform, which processes large, complex data sets from a variety of sources • You'll envision and create tools that contribute to and enhance our end-to-end data pipeline • You'll model, design and implement complex data integrations with our industry partners

Requirements

• Experience with: Node.JS, JavaScript/TypeScript, working with NoSQL databases, building data processes from start to finish • 3+ 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 • Strong communication skills