Dubbed an "open-source unicorn" by Forbes, Confluent is the fastest-growing enterprise subscription company our investors have ever seen. And how are we growing so fast? By pioneering a new technology category with an event streaming platform, which enables companies to leverage their data as a continually updating stream of events, not as static snapshots. This innovation has led Coatue Management, Altimeter Capital & Franklin Templeton to join earlier investors Sequoia Capital, Benchmark, & Index Ventures in the recent Series E financing of a combined $250 million at a $4.5B valuation. Our product has been adopted by Fortune 100 customers across all industries, & we're being led by the best in the space-our founders were the original creators of Apache Kafka. We're looking for talented & amazing team players who want to accelerate our growth, while doing some of the best work of their careers. Join us as we build the next transformative technology platform!
About the Team:
The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, insights, models & tools, to empower data-driven thinking, & optimize every part of the business. This position offers limitless opportunities for an ambitious data engineer to make an immediate & meaningful impact within a hyper growth start-up, & contribute to a highly engaged open source community.
About the Role:
As a Data Engineer, you will take on big data challenges in an agile way. You will build data pipelines that enable data scientists, GTM operation teams, & executives to make data accessible to the entire company. You will also build data models to deliver insightful analytics while ensuring the highest standard in data integrity. You are encouraged to think out of the box & play with the latest technologies while exploring their limits. Successful candidates will have strong technical capabilities, a can-do attitude, & are highly collaborative.
This is a partnership-heavy role. As a member of the Field Ops Data Science team, you will enable all the Go-to-Market functions of the company, i.e. Sales, Customer Success, Business Development, Marketing, to be data-driven. This role will be located in Mountain View, CA.