Afresh · 9 hours ago
Data Engineer
United States
Full-time
Remote
Entry, Mid Level
$135K/yr - $165K/yr
2+ years expAfresh is the leading AI company in fresh food, partnering with grocers to eliminate food waste and make fresh food accessible to all. The Data Engineer will work at the intersection of food waste, large-scale data processing, and applied AI to improve customer data flow and develop new features that support the company's expanding product lines.
AgricultureArtificial Intelligence (AI)Food and BeverageLogisticsMachine LearningSoftwareSupply Chain Management
No H1B
Hiring Manager
Jolene Ho
Responsibilities
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
Qualification
Required
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
Company
Afresh
Afresh is an AI-powered company selling software to track demand and manage orders for fresh produce in grocery stores.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$147.79MKey Investors
Spark Capital,Walter RobbFood Retail VenturesInnovation Endeavors
2022-08-04Series B· $115M
2020-11-19Series A· $13M
2020-07-20Series A· $12M
Leadership Team
Matt Schwartz
CEO
Nathan Fenner
Co-Founder
Recent News
Company data provided by crunchbase