Data Engineer

At Guac, we’re solving grocery food waste with predictive ML. We predict exactly how much of each product will sell, helping grocery retailers order/produce the perfect amount of inventory. The grocery industry is enormous (in the US, it accounts for 4% of GDP), and grocery food waste is one of the biggest drivers of cost for retailers, but also a huge problem for the climate and food security. Today, we’re working with major supermarket chains in the US (you’ve probably shopped at some of them before), and we’ve scaled to 7-figures in ARR. We’re also backed by leading investors such as Y Combinator, 1984 Ventures, Collaborative Fund, and angels from Instacart and Citadel Securities. We’ve brought together an exceptional team from Palantir, BCG, Oxford, Cambridge, and MIT to solve intellectually challenging problems and tackle food insecurity & waste with technology. We’re looking for talented engineers in NYC to join our mission. About the Role As a Data Engineer at Guac, you'll play a crucial role in building and maintaining our ETL infrastructure and pipelines, as well as optimizing ML systems for forecasting grocery demand. You’ll also work directly with our customers to ensure successful technical integrations. Around 80% of your time will be spent on engineering: Designing and implementing scalable data pipelines for processing large-scale data across multiple customers Optimizing machine learning pipelines for demand forecasting Contributing to our backend services to serve our mobile and web applications Around 20% of your time will be spent on customer facing work: Collaborating directly with customers' technical teams to ensure smooth data integrations and system implementations Working with customers’ internal supply chain and store operations teams to understand and then implement their unique business logic About You 3+ years of relevant data engineering experience Strong proficiency in Python/Pandas/data orchestration tools (like Airflow, Dagster, etc.) (Ideal) Experience in customer-facing technical roles (e.g. forward deployed engineer) (Ideal) Experience with distributed computing frameworks like PySpark or Dask (Ideal) Experience working in an early stage startup environment What We Offer First-hand experience building an early-stage startup Fully employer-paid healthcare (medical, dental, and vision) Fully covered food expenses in the office (lunch/dinner) Free Equinox membership Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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