Software Engineer Intern, Snowflake
Database Engineering, Fall 2025
The estimated pay range for this role is $42.00 - $60.00 per hour
3-5 days a week in office (Menlo Park, CA)
AI Data Cloud for data sharing and app building
Job no longer available
AI Data Cloud for data sharing and app building
1001+ employees
Job no longer available
The estimated pay range for this role is $42.00 - $60.00 per hour
3-5 days a week in office (Menlo Park, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 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)
- 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 the job involves
- 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
- 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)
- 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
- Paid, full-time internships in the heart of the software industry
- Post-internship career opportunities (full-time and/or additional internships)
- 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
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organizations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Bozeman, MT
Leadership
Benoit Dageville
(Co-Founder)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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