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 WHAT WE EXPECT : 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, machine learning, networking Bonus experience : research or publications in databases or distributed systems, and contributions to open source Experience working with big data (engineering / processing) and data migration When : Fall (Aug / Sept - Dec) 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 WHAT YOU WILL LEARN / GAIN : 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 POSSIBLE TEAMS / WORK FOCUS AREAS : Database Query Engine, Data Infrastructure, Data Pipelines, Data Platform, Database Security, Data Governance, Data Sharing, FoundationDB, Manageability, Metadata, Service Runtime, Snowhouse Foundation, Storage and ML Engineering High performance large-scale data processing Large-scale distributed systems Software-as-a-Service platform Software frameworks for stability and performance testing The following represents the expected range of compensation for this role : The
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