Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
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
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.
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
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?
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?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data.
We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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