Our client is building software products that combine cutting-edge AI with empathetic, user-centric design that make the fresh food supply chain radically more efficient. The results are powerful: in live deployments they have demonstrated food waste reductions of 50%+ and profit increases of 25%+ for our customers—initial steps towards our greater mission of making fresh, nutritious food more abundant and accessible to all.

Your role

As an Integration Engineer you will be responsible for building data processing infrastructure.
You will design and implement data pipelines and data management systems supporting the automation of tens of thousands of daily manual decisions in supermarkets, leading to reductions of $100M+ in food waste.
You are detail- oriented, meticulous, and a strong team player. You are excited by the latest big data processing technologies, such as Hadoop, Kafka, and Spark, and their impact of the effectiveness of engineering organizations.

Skills

Bachelors or Masters in Computer Science or equivalent.2+ years of work experience.
Strong programming and problem-solving skills.
Expert-level knowledge of databases, data lakes, data pipelines, SQL. Experience with big data frameworks such as Apache Spark is a big plus.
Experience working with Microsoft Azure, Amazon Web Services, and other cloud providers.
Familiarity with statistical concepts and/or devops expertise are a plus. Experience with data visualization is a plus.

Integration Engineer - Mission Driven