At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Why Join Us? What We Offer
We cultivate an inclusive, welcoming, and empowering environment where every intern is set up for success from day one:
Dedicated Mentorship & Support: High level of access to your manager and a personal mentor who provide guidance, constructive feedback, and continuous support without micromanagement.
Real Impact & Ownership: Work alongside world-class experts on meaningful, real-world projects that contribute directly to systems used by global customers.
Inclusive Culture & Flexibility: Work in a vibrant team with flexible working hours, work-from-home options, casual dress code, and an inclusive, community-focused startup culture.
Career Growth: Clear pathways for post-internship career opportunities, including full-time roles and additional internship options.
Perks & Community: Paid full-time internship, catered lunches, team outings, happy hours, access to gaming consoles, recreational games, employee resource groups, and great swag.
How to build enterprise-grade, reliable, and secure cloud software and services.
Hands-on experience with cutting-edge database internals, large-scale distributed systems, and cloud infrastructure (AWS, Azure, Google Cloud).
Practical knowledge in compiler design, query execution, streaming pipelines, and advanced SQL features.
Colleague mentorship and collaborative problem-solving experience in a modern tech stack (C++, Java).
What We Are Looking ForQualifications & Skills:
Education: Must be actively enrolled in an accredited college or university program during the time of the internship (from 3rd year Bachelor up to Master’s or PhD levels) in Computer Science, Computer Engineering, Physics, Math, or a related technical field.
Duration: 4 month minimum, 6 months recommended, up to 12 months supported, start date flexible
Target start dates: February 2027 and onward
Foundational knowledge of algorithms, data structures, and operating systems.
Programming experience in C++ or Java, and familiarity with systems programming concepts (e.g., multi-threading, concurrency).
Ability to collaborate effectively in a team environment and solve problems creatively.
Fluent written and spoken English skills.
Coursework or familiarity with database systems, distributed systems, cloud computing, or compilers.
Experience or interest in big data engineering, data processing, or geospatial features.
Contributions to open-source projects, research experience, or publications in databases/distributed systems.
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
Skills Required
- Currently enrolled in an accredited college or university program during the internship
- Pursuing a Bachelor's degree from the third year onward, Master's degree, or PhD in Computer Science, Computer Engineering, Physics, Mathematics, or a related technical field
- Available for a minimum four-month internship; six months recommended, with up to twelve months supported
- Foundational knowledge of algorithms, data structures, and operating systems
- Programming experience in C++ or Java
- Familiarity with systems programming concepts, including multithreading and concurrency
- Ability to collaborate effectively in a team environment and solve problems creatively
- Fluent written and spoken English
- Coursework or familiarity with database systems, distributed systems, cloud computing, or compilers
- Experience or interest in big data engineering, data processing, or geospatial features
- Open-source contributions, research experience, or publications in databases or distributed systems
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
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Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
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Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.
Snowflake Insights
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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