Staff Data Engineer, Analytics

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.

As a Staff Data Engineer on the Data Science team, you will own the development of our analytics platform. You will evolve our data warehouse schema, solidify our transform architecture, and establish data governance patterns to serve our internal and external analytics needs. Your responsibilities will include:

• Improving and extending our data analytics architecture
• Collaborating with engineers, product managers, and data scientists to understand their data needs
• Building extensible dimensional models and semantic layer metrics
• Evolving existing data quality and data governance processes
• Mentoring and up-skilling other engineers

This high-impact role offers ownership of highly visible projects and significant growth opportunities.

Founded in 2017, Afresh has raised over $148 million in funding and is working on the #1 solution to curb climate change: reducing food waste. We offer equal employment opportunities and value proactivity, kindness, candor, and humility in our diverse and inclusive team.

Join us in building a vibrant team that embodies our company's values and makes a positive impact on the planet!