At Guac, we're on a mission to solve grocery food waste with predictive ML. We forecast exactly how much of each product will sell, to put an end to the millions of tons of food that goes to waste every single day due to bad inventory replenishment.
We're currently working with major supermarket chains in the US (you've probably shopped at some of them before), and we're backed by Y Combinator, 1984 Ventures, Collaborative Fund, and angels from Instacart and Citadel Securities.
We're seeking a talented Data Engineer to join our team in-person in New York to help shape the future of grocery!
About the Role
As a Data Engineer at Guac, you'll have ownership over 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:
You’ll be working across languages and technologies such as: Python, FastAPI, Dagster, GCP (including BigQuery), Dask, and SQL.
Around 20% of your time will be spent on customer facing work:
About You
Why Work with Us
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