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Snowflake

Software Engineer Intern (Database Engineering) - Fall 2025

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Build the future of the AI Data Cloud. 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, networking

  • Bonus experience: research or publications in databases or distributed systems, and contributions to open source 

  • Experience working with big data (engineering / processing)

  • When: Fall 2025

    • Eligible start date options: August 15, September 12

    • Eligible end date options: November 7, December 19

  • Duration: 12 week minimum, 16 weeks recommended (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:
  • 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  

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

Snowflake Bellevue, Washington, USA Office

In the heart of Silicon Valley, you'll find our 4-story, 2-tower San Mateo hub, which actually emerged from the very spot Snowflake started in 2012 – it all began in one of our founder's humble San Mateo apartments.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
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