Data Engineer, Afresh Technologies
$135-165k
SaaS for grocery store operations
Open for applications
SaaS for grocery store operations
101-200 employees
Open for applications
$135-165k
101-200 employees
Company mission
To eliminate food waste and make fresh food accessible to all.
Role
Who you are
- 2+ years of experience building ETLs or data workflows with Python, PySpark, SQL, or similar tools
- Comfortable working with messy, incomplete, or inconsistent datasets—and turning them into something structured and usable
- Experience in identifying areas where tooling or automation can simplify workflows and reduce manual effort
- Experience or strong interest in platforms like Databricks, Snowflake, and dbt
- Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions
- Attention to detail and pride in delivering robust, maintainable solutions
- Collaborative and communicative — you work well across teams and aren't afraid to ask questions
- Learning mindset — hungry to grow your skills and move fast
What the job involves
- We’re looking for a Data Engineer who’s excited to work at the intersection of food waste, large-scale data processing, and applied AI
- In this role, you’ll help shape how customer data flows through our platform, improving how we ingest, transform, and operationalize real-world datasets to drive down food waste for grocery chains
- You’ll work closely with other data engineers, product engineers, and AI/ML engineers to design and implement reliable, efficient ETL pipelines and streamline how we integrate with new customers
- You’ll contribute to the development of new features that support our expanding product lines
- Your work will have a direct and visible impact on our ability to onboard customers more easily/quickly and power our machine learning grocery solution
- Build and maintain robust data pipelines that ingest, transform, and validate complex customer data using PySpark, Python, and dbt to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use
- Help improve integrations with new customers, making the process faster and more repeatable through thoughtful tooling
- Contribute to the adoption of cutting-edge AI tooling (e.g., LLM-assisted data cleaning, semantic validation, and anomaly detection)
- Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features
- Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations
- Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need
- Learn and grow by pairing with other engineers, participating in design reviews, and taking on bigger and bigger projects
Our take
Antiquated inventory management systems are detrimental to grocers' money and time. Generalized and paper-based systems result in the over-purchase of stock, and this results in waste of fresh food and financial budgets.
Afresh has created an operating system designed specifically to manage inventory and sales of fresh food. The system is powered by AI to help provide forecasting and analysis of inventories, helping grocers stock more economically and thus waste less fresh food.
The company has grown rapidly in recent years, and has partnered with thousands of stores in 40 states across the US. Clients include Albertsons, WinCo Foods, Heinen's, Save Mart, Bashas and Cub Foods.
Freddie
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2022
$115m
SERIES B
Nov 2020
$13m
SERIES A
Total funding: $147.8m
Company benefits
- Comprehensive health plans
- Generous parental leave
- Equity packages
- 401k matching
- Flexible vacation policy
- Monthly grocery stipend
- Professional development program
- Monthly physical / mental health stipend
- Work from home stipend
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Matt Schwartz
(Co-Founder & CEO)Worked as a consultant for Bain before going on to pursue their passion for food systems. They also previously founded Statfoods.
Volodymyr Kuleshov
(Co-Founder & Advisor)Has a PhD in computer science from Stanford. Alongside Afresh, they are an Assistant Professor in the technology department at Cornell.
Nathan Fenner
(Co-Founder)Has a Bachelors, Masters and MBA from Stanford University. Post studying, they became a Lecturer at Stanford in the Mechanical Engineering department before working at Liquid Robotics.
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