Build the future of data. Join the Snowflake team.

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more.

We're looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake.
WHAT WE OFFER:

• Paid, full-time internships in the heart of the software industry
• Post-internship career opportunities (full-time and/or additional internships)
• Exposure to a fast-paced, fun and inclusive culture
• A chance to work with world-class experts on challenging projects
• Opportunity to provide meaningful contributions to a real system used by customers
• High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation
• Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more
• When return to office in effect, catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more

• Must be actively enrolled in an accredited college/university program during the time of the internship
• Desired class level: 3rd/4th year Undergraduates, Masters, or PhD
• Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field
• Required coursework: algorithms, data structures, software engineering, and operating systems
• Recommended coursework: cloud computing, compilers, database systems, distributed systems, functional PL, networking
• Bonus experience: research or publications in databases or distributed systems, and contributions to open source
• Experience working with big data (engineering / processing)
• When: Summer (May - Aug)
• Duration: 12-16 weeks recommended, more than 16 weeks also encouraged (12 month maximum)
• Excellent programming skills in C++ or Java
• Preferred knowledge of C++20 or C++17, Java 20 or Java 17
• Knowledge of data structures and algorithms
• Systems programming skills including multi-threading, concurrency, etc.
• Strong problem solving and ability to learn quickly in a dynamic environment
• Experience with working as a part of a team
• Dedication and passion for technology

• How to build enterprise grade, reliable, and trustworthy software/services
• Exposure to SQL or other database technologies (e.g., Spark, Hadoop)
• Understanding of database internals, large-scale data processing, transaction processing, distributed systems, and data warehouse design
• Implementation, testing of features in query compilation, compiler design, query execution
• Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular
• Learning about cutting edge database technology and research

• Various spaces within Database Query Engine (such as the compiler, query optimization, query execution & performance, SQL frameworks, etc..), FoundationDB key-value store (FDB storage, FDB Performance, etc..), and Hybrid Transactional & Analytical Processing (Unistore)
• High performance large-scale data processing
• Large-scale distributed systems
• Software-as-a-Service platform
• Software frameworks for stability and performance testing