Software Data Science Engineer

Bellevue, WA, USA

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Snowflake Inc.
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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.

AS A SOFTWARE DATA SCIENCE ENGINEER AT SNOWFLAKE, YOU WILL:

  • Develop a deep understanding of the storage architecture, using design documents and code and as your guide.
  • Develop a set of inquiries into how storage is used
  • Work with others, including the business and sales teams, to develop investigations into storage usage
  • Design, build, and run queries on large amounts of data to answer inquiries on data and storage usage
  • Report findings and build recommendations
  • Use code to improve our usage of storage and create cost savings for Snowflake and our customers

OUR IDEAL DATA SCIENCE ENGINEER WILL HAVE:

  • 1+ years of industry experience creating software products
  • 1-3 years of Java coding experience
  • 1-3 years of experience with using data science techniques to build SQL queries and reports
  • A strong drive for results, and the skills to present those results to others
  • The ability to work across teams to get a job done
  • A data-driven approach to solving problems and driving investigations

BONUS POINTS FOR THE FOLLOWING: 

  • Basic understanding of cloud storage (S3, Azure Blob Storage, or GCS) architecture
  • Basic understanding of REST APIs
  • Experience building software products that leverage storage

WHY JOIN OUR ENGINEERING TEAM AT SNOWFLAKE? 

  • The Engineering team is building an industry-leading data lake that meets the needs of customers with large amounts of data. We are driven by customer need.
  • Work with and learn from passionate and experienced engineers who have built an industry-leading data cloud from the ground up.
  • Make CEO- and CFO-visible changes to our storage design to optimize costs and usage
  • Help our team keep Snowflake at the cutting edge of innovation and affordability for a broad range of customers and their scenarios

 

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?

Job tags: Engineering Java SQL
Job region(s): North America
Job stats:  28  2  0
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