Berlin, State not Applicable, Germany
83 days ago
Software Engineer Intern - Berlin (2025)

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, 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

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 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:

Database Query Engine, Data Infrastructure, Data Pipelines, Data Platform, Database Security, Data Governance, Data Sharing, FoundationDB, Manageability, Metadata, Service Runtime, Snowhouse Foundation, Storage and ML Engineering 

High performance large-scale data processing

Large-scale distributed systems

Software-as-a-Service platform

Software frameworks for stability and performance testing  

 

POSSIBLE TEAMS/WORK FOCUS AREA :

Execution platform (XP), Search Optimization (SO), SQL Features (Geo, Collations) as well as FDB CAT (Client/Authorization/Transport)

Database engineering, service runtime, streaming (data pipelines), metadata, Streamlit and  cloud engineering teams. 

High performance large-scale data processing

Large-scale distributed systems

Query compilation and optimization

Geospatial Design/Geographic IS (map compilation, CRS manipulation, geo features processing)

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?

Confirm your E-mail: Send Email