Requirements:

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
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
Target start dates: February 2026 and onward
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'll 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

Execution platform (XP), Search Optimization (SO), SQL Features (Geo, Collations)
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
Software-as-a-Service platform
Software frameworks for stability and performance testing

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