Data Engineer, Afresh
$135-165k
SaaS for grocery store operations
Job no longer available
SaaS for grocery store operations
101-200 employees
Job no longer available
$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
Outdated inventory systems remain a major issue for grocers, particularly when it comes to fresh food. Many still rely on manual processes or rigid software that struggles to account for constantly changing factors like demand, shelf life and supply fluctuations. The result is over-ordering, wasted food and unnecessary costs, all problems that become even harder to manage at scale.
Afresh is tackling this with an AI-powered platform built specifically for fresh food operations. Its system helps grocers forecast demand, manage inventory and make smarter ordering decisions across categories like produce, meat and bakery. What started as a replenishment tool has expanded into a broader operating system, supporting planning, buying and day-to-day decision-making across store teams.
The company has grown quickly too, now supporting more than 12,000 grocery departments across North American and partnering with major retailers like Albertsons, Meijer and Wakefern. Following a year of strong growth and new product launches, Afresh is expanding its reach across the food supply chain, with ambitions that go beyond the store level. As pressure mounts on grocers to reduce waste and improve margins, Afresh is ready to be a key player in bringing AI-driven decision-making to the entire fresh food ecosystem.
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
- Professional development program
- Work from home stipend
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Matt Schwartz
(Co-Founder & CEO)Prior to co-founding Afresh in 2016, Matt worked as a Consultant for Bain & Company.
Nathan Fenner
(Co-Founder & CPO)Nathan 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 for 5 years.
Kristina Kemmer
(CTO)Kristina joined Afresh in 2023 as a Senior VP of Engineering, moving into the role of CTO in 2025. Prior to Afresh, she spent 4 years at Zapier as a Director/VP of Engineering and 2 years at InVision as an Engineering, then Senior Engineering Manager.
Adam Litle
(CRO)Prior to joining Afresh in 2025, Adam was the CEO of Sound Agriculture for over 5 years. He also served as the CRO at Granular for nearly 3 years and worked as a VP of Sales at Monetate for 1 year.
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