Senior Data Engineer

• Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data.
• Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use.
• Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs.
• Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features.

Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution, helping reduce food waste and make fresh food accessible to all.

• Significant experience designing and maintaining ETLs that process large-scale datasets.
• Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT.
• Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.
• Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them.

• Join a mission-driven company reducing millions of pounds of food waste in grocery stores per year.
• Work on challenging, real-world problems that have a direct impact on our customers.
• Be part of a collaborative, supportive team where your ideas are valued and acted on.
• Use cutting-edge tools and platforms to solve meaningful data challenges.

Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.