Data Engineer

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:

• Designing and implementing scalable data pipelines for processing large-scale data across multiple customers
• Optimizing machine learning systems for demand forecasting
• Expanding our recommendation engine to meet the needs of new customers
• Contributing to our backend services to serve our mobile and web applications

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:

• 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

• At least 3 years of relevant work experience and a minimum of a Bachelor’s degree or equivalent in Computer Science
• Strong background in data engineering and experience with large-scale distributed data processing systems
• Proven experience in implementing and deploying machine learning models, particularly for time series forecasting
• Excellent communication skills with experience in customer-facing technical roles
• Familiarity with modern data infrastructure and cloud computing platforms
• Existing background in backend development (Python/FastAPI) is a big plus

Why Work with Us

• Intellectually challenging problems that require a lot of thinking and creativity (like how to scale ML systems across diverse grocery chains). Since we’re still a small team, you won't be pigeon-holed into one problem, product, or technology
• Make a real-world impact: the grocery industry is enormous (in the US, it accounts for ~4% of GDP), and we're excited about the potential for a huge impact we can make with better inventory operations on both grocers' bottom-line but also on the climate and food security
• Engage with interesting customers and see the on-the-ground operations of the grocery industry