Database Engineer Internship Opportunity

2 days ago


San Mateo, California, United States Snowflake Computing Full time
Build the Future of Data

Snowflake Computing is a global leader in cloud data platforms. We're looking for dedicated students who share our passion for groundbreaking technology and want to create a lasting future for themselves 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
  • 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
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
When and How Long

Summer (May - Aug)

Duration: 12-16 weeks recommended, more than 16 weeks also encouraged (12 month maximum)

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



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