Lead Data Engineer

  • Full Harvest Technologies, Inc.
  • San Francisco, California
  • Aug 26, 2020

Job Description

Are you up to the challenge of helping solve one of the world's largest problems of food waste? Recent research has found that an incredible 30-40% of food is wasted every year around the globe. Full Harvest is a high-growth, VC-backed AgTech startup solving this food waste problem. 

We’ve built the B2B marketplace connecting farms with food & beverage businesses to sell ugly and surplus produce that would have otherwise gone to waste.  We are rapidly growing the team, after raising a $8.5 million Series A, led by Spark Capital. 

Full Harvest has been recognized in major publications including TechCrunch, WSJ, Forbes, the Economist and featured on Bloomberg. We have received the United Fresh Award for Innovation and our CEO, Christine Moseley was named ‘#2 Most Innovative Women in Food and Drink’ by Food & Wine Magazine.

The Role

You will be the founding member of our data engineering team, and will own and implement our data collection and reporting systems across all levels of the stack. Reporting to the Head of Engineering, you will be working with a highly interdisciplinary team of engineers, product managers, analysts, and marketers. This role will require a mixture of data engineering, customer insight, analytical mindset, and strong collaboration skills to be successful.

Our headquarters are in downtown San Francisco.

Responsibilities:

  • Help architect, build, and scale our data platform. 
  • Through collaboration with different departments, define critical metrics for our business, and build out data marts to accurately report them.
  • Gather insights from complex data, and make recommendations that drive meaningful business impact.
  • Build data pipelines to aggregate data across various internal subsystems.
  • Drive automation for self-service insights that create leverage across departments (Sales, Marketing, Product, Finance, Operations).

What we are looking for:

  • Exceptional track record in delivering production grade data engineering solutions at all levels of the stack.
  • Strong data modeling fundamentals (relational and non-relational). 
  • The ability to quickly manipulate complex data through SQL, python, R (or other similar languages).
  • Practical experience building out a data warehousing ecosystem. 
  • Expertise in data analysis and visualization tools (Looker, Tableau, D3 etc). 
  • A highly analytical mindset. 

How We Operate:

As a team, we are focused on our mission of empowering sustainability solving food waste and we strive to do this by executing in the following ways:

  • We are results focused and rely on each other to accomplish our goals
  • We deliver consistently strong performance
  • We go to great lengths to understand and delight customers
  • We give and receive candid and direct feedback
  • We admit mistakes openly and are not afraid to ask for help
  • We look for solutions in unexpected places

What We Offer:

  • Opportunity to work on a great mission - solving food waste
  • A fun, challenging environment that will give you the chance to significantly grow and learn
  • Equity in a high-growth startup
  • The most up-to-date technology, including company-issued Macs, the latest software and other tools needed to excel at your job
  • Medical, Dental and Vision coverage
  • 401k plan
  • Commuter Benefits
  • In-Office Lunch several days a week

Looking for more information about us? We recently closed our Series A with Tier 1 tech and ag firms, Spark Capital and Cultivian Sandbox. Learn more in this TechCrunch article.

Full Harvest is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Organization Type

Company  

Sectors

Food & Agriculture

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FullHarvestTech