Senior 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.
• Investigate and implement new technologies into the data platform.
• Collaborate with teams to design and deliver data solutions.
• Identify and implement optimizations for ETL runtime.
• Work with messy customer data to extract useful insights.
• Mentor engineers and lead technical discussions.

Requirements

• Experience designing and maintaining ETLs for large datasets.
• Proficiency in Python, PySpark, SQL, and relevant tools.
• Strong problem-solving skills with ambiguous requirements.
• Focus on practical outcomes in technical solutions.
• Experience with complex datasets and innovative processing methods.
• Ability to simplify workflows through tooling or automation.
• Excellent communication skills for diverse audiences.
• Proven leadership in technical projects.

Benefits

• Join a mission-driven company reducing food waste.
• Work on challenging problems with direct customer impact.
• Collaborative team environment where ideas are valued.
• Use cutting-edge tools to solve meaningful data challenges.