Data Engineer

Guac is an innovative startup backed by Y Combinator, 1984 Ventures, and Collaborative Fund, focused on solving grocery food waste through predictive machine learning. Working with major US supermarket chains, they're revolutionizing inventory replenishment to prevent millions of tons of food waste.

As a Data Engineer at Guac, you'll play a crucial role in building and maintaining ETL infrastructure and optimizing ML systems for grocery demand forecasting. The position offers a unique blend of technical challenges and customer interaction, with 80% of time dedicated to engineering tasks and 20% to customer-facing responsibilities.

The role involves working with cutting-edge technologies including Python, FastAPI, Dagster, GCP (BigQuery), Dask, and SQL. You'll be responsible for designing scalable data pipelines, optimizing machine learning systems, and expanding their recommendation engine while contributing to backend services.

What makes this role particularly exciting is the opportunity to tackle intellectually challenging problems that require creativity and innovative thinking. As part of a small team, you'll have the chance to work across various aspects of the technology stack and product development. The impact potential is significant, considering the grocery industry represents about 4% of US GDP.

The ideal candidate should have at least 3 years of relevant experience, strong data engineering background, and excellent communication skills. This is an in-person position in New York, offering the chance to work directly with founders and shape the future of grocery inventory management while making a meaningful impact on climate change and food security.

Working at Guac means joining a mission-driven team focused on solving real-world problems through technology. You'll engage with interesting customers, gain insights into grocery industry operations, and contribute to reducing food waste on a massive scale.