Software Data Science Engineer
There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.
The Data Lake Storage team is looking for a software engineer who can use data science techniques to identify opportunities to improve and optimize our usage of storage and other resources. The ideal candidate can understand software architecture and read code, and will use this knowledge to dig deeper into our usage of storage, using data science techniques to guide this search. The candidate will then use this knowledge to design and code solutions that optimize storage usage and cost, drive product decisions, and report progress to VPs and our C-level leadership. This unique blend of skills will allow a software data science engineer to make data-supported architecture changes across a large area of the product. They will work with an experienced team of engineers building an innovative platform that allows customers to leverage Snowflake for a broadening range of storage and data lake needs.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
Bellevue, WA or North America • Flexible