Software Engineer Intern - Berlin (2026)
Snowflake
| Company | Snowflake |
| Category | Engineering |
| Location | Berlin |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Intern |
| Salary | Not stated by the employer |
| Posted | 2 Jun 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer career page (ashby) |
Description
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.
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, 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
WHAT WE EXPECT :
- 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
- Recommended coursework: Database systems, distributed systems, Geospatial/Geographic IS, cloud computing, compilers,
- 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 WILL 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