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, yet fun, startup 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
- Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more
- Embraced as a full member of the diverse Snowflake engineering team
WHAT WE EXPECT :
- Must be actively enrolled in an accredited college/university program during the time of the internship
- Required: A completed BS degree, with an MS or PhD in progress
- Desired Majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field
- Required coursework: algorithms, data structures, and operating systems
- Recommended coursework: Database systems, distributed systems, Geospatial/Geographic IS, cloud computing, compilers,
- Bonus experience: Research or publications in databases or distributed systems, experience with geo features processing, and contributions to open source.
- Experience working with big data (engineering / processing) and data migration
- Duration: 4 month minimum, 6 months recommended, up to 12 months supported, start date flexible
- Excellent programming skills in C++ or Java
- Knowledge of data structures and algorithms
- Strong problem solving and ability to learn quickly in a dynamic environment
- Fluent English language skills (oral and written)
- Experience with working as a part of a team
- Dedication and passion for technology
- Systems programming skills including multi-threading, concurrency, etc.
WHAT YOU WILL LEARN/GAIN :
- How to build enterprise grade, reliable, and trustworthy software/services
- Exposure to SQL and/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
POSSIBLE TEAMS/WORK FOCUS AREA :
- Execution platform (XP), Search Optimization (SO), SQL Features (Geo, Collations) as well as FDB CAT (Client/Authorization/Transport)
- Database engineering, service runtime, streaming (data pipelines), metadata, Streamlit and cloud engineering teams.
- High performance large-scale data processing
- Large-scale distributed systems
- Query compilation and optimization
- Geospatial Design/Geographic IS (map compilation, CRS manipulation, geo features processing)
- Software-as-a-Service platform
- Software frameworks for stability and performance testing
