Job 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
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
Pinto (pinto.co) is building the smartest product database and analytics platform in food, grocery, and CPG. Our mission is to make the world of products optimized, searchable, and personalized for today's consumers (66% of whom now shop around personal health needs — think Keto, No Added Sugar, Plant-Based, Heart Health, No Dairy, etc etc.). We're the "system of record" that's powering personalized, preference-driven shopping.
At Pinto, we believe consumers should be able to easily find products according to their individual needs, and our data platform is solving this by digitizing and classifying the world of products across every consumer preference — from every allergen and intolerance to key lifestyles and diets (like Vegan, Paleo, Keto, Gluten Free), rising health conditions (like Diabetes Management, Heart Health, etc.), certifications, sustainability preferences, nutrition and ingredient preferences, and so much more.
The era of personalization is here and we’ve built Pinto to power it🍓📊.
Customer case studies:
-- Whole Foods Market:
-- Kroger:
Example of searches we power in production:
-- Find all Keto Snacks:
-- Find all Gluten-free crackers that are kosher:
-- Find all Vegan meat substitutes:
-- Find all Dairy-free yogurts:
-- Find all Pasta Sauces with No Added Sugars:
Examples of “personalized/curated” aisles created from our data:
-- Make my store Keto:
-- Make my store Vegan:
-- Make my store Paleo:
Pinto (pinto.co) is building the smartest product database and analytics platform in food, grocery, and nutrition, with a mission of making product data fully personalized, transparent, and easily searchable for both consumers and businesses alike. Over 66% of Americans now choose products based on personal health needs (think Keto, No Added Sugar, Plant-Based, Heart Healthy, No Dairy, Diabetes Management, etc etc), and the Pinto data platform is organizing the world of products at scale across every personalized dimension that matters to these modern consumers. The era of personalization is here and we’re building Pinto to power it 🍓📊.
We are a profitable, venture-backed company that's growing quickly, and we’re now looking for Backend Engineers to join our growing engineering team. In this role, you’ll work across the Pinto stack to contribute to and improve Pinto’s data platform, a suite of technologies and tools used to create, process, classify, visualize and make sense of complex food product data and analytics.
Ideal candidates will be comfortable leading initiatives from ideation to planning, prototyping, execution, shipping, and iteration. We use a variety of tools, technologies, and languages to build software including ES6 JavaScript/TypeScript, Node.JS, GraphQL, MongoDB, AWS and Distributed Systems.
This is an amazing opportunity for someone looking to join in the early stages of a rapidly growing technology startup solving a meaningful problem in food and the broader world of personalization in nutrition and consumer products.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.