Snowflake SOFTWARE ENGINEER INTERN - BERLIN 

Germany, Berlin, Berlin 

219104238

• 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

• 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.

• 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

• 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