Staff Software Engineer Data - DC Tech Lead

• Design, build, and optimize robust ETLs using PySpark and DBT to process large-scale customer datasets.
• Define the technical vision for DC data architecture, mentor engineers, and manage external contractors.
• Partner with product, engineering, and applied science teams to deliver data solutions for customer data quality and product features.

Your work will directly reduce food waste by enabling grocers to minimize waste and maximize sales, preventing over 200 million pounds of food waste annually.

• Significant experience designing and maintaining ETLs that process large-scale datasets.
• Proficiency with Python, PySpark, SQL, and experience with Databricks, Snowflake, or DBT.
• 2+ years experience in a technical lead role (e.g., Tech Lead or Engineering Manager).
• Strong problem-solving skills and ability to work with ambiguous requirements.

Comprehensive health & wellness coverage, competitive base salary ($168K-$273K), meaningful equity, 401(k) with company match, flexible workspace with home office stipend, annual professional development budget, monthly stipends for wellness and telecom, flexible PTO.

Afresh is an AI platform for grocery that helps grocers reduce food waste and maximize sales using proprietary AI. Founded in 2017, it has scaled to 6 enterprise solutions live in over 10% of the U.S. grocery market.