Staff Data Engineer, Analytics - 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

• Own the development of Afresh's analytics platform.
• Improve and extend data analytics architecture.
• Collaborate with engineers, product managers, and data scientists.
• Evolve data quality and governance processes.
• Mentor and up-skill other engineers.
• Work on high-impact projects with room for growth.
• Utilize SQL-driven transform libraries.
• Establish data governance patterns.
• Build extensible dimensional models.
• Drive experiment-based decision-making.

Requirements

• 6+ years of experience in data engineering or similar roles.
• Strong understanding of advanced SQL concepts.
• Exceptional communication and leadership skills.
• 1+ years of experience with SQL-driven transform libraries.
• Expert knowledge of OLTP and OLAP database design.
• Familiarity with data engineering concepts like Data Mesh and Data Lake.
• Experience with semantic layer setup defined with code.
• Technologies: SQL, Python, Airflow, dbt, Snowflake/Databricks/BigQuery, Spark.

Benefits

• Opportunity to make a significant social impact.
• Work with cutting-edge technology.
• Be part of a diverse and inclusive team.
• Flexible remote work options.
• Competitive salary and benefits.
• Collaborative work environment.
• Professional growth opportunities.
• Engagement in meaningful projects.
• Supportive company culture.
• Equal employment opportunities.