Staff Data Engineer - Remote

Overview

Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!

In Short

• Build tools and frameworks that streamline customer integrations.
• Create robust ETLs in PySpark and DBT to process billions of records.
• Collaborate with product, engineering, and go-to-market teams.
• Identify and implement optimizations to improve ETL runtime.
• Solve real-world data quality challenges.
• Investigate and implement new technologies into the data platform.
• Support team members by mentoring engineers.

Requirements

• Significant experience designing and maintaining ETLs.
• Proficiency with Python, PySpark, SQL, and related tools.
• Strong problem-solving skills.
• A focus on practical outcomes.
• Experience with complex, unclean datasets.
• Ability to identify areas for tooling or automation.
• Excellent communication skills.
• Proven leadership in technical projects.

Benefits

• Join a mission-driven company reducing food waste.
• Work on challenging, real-world problems.
• Be part of a collaborative, supportive team.
• Use cutting-edge tools and platforms.