Data Engineer

Core 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
• 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

Your work will directly help reduce food waste for grocery chains, with Afresh's software having saved 200M lbs of food waste in 2025 alone, making fresh food more accessible while addressing climate change.

Required skills and experience:

• 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 structured, usable data
• 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

No specific compensation, perks, or culture highlights mentioned in the job description beyond equal employment opportunities and remote work eligibility in specified states.

Afresh is the leading AI company in fresh food, working to eliminate food waste and make fresh food accessible to all by partnering with major grocers to order billions of dollars of fresh food nationwide.