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.
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, fun and inclusive 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
When return to office in effect, catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more
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, Physics, Math, or related field
Required Coursework: Algorithms, Data Structures, Operating Systems,
Recommended Coursework: database systems, distributed systems
When: Spring (Jan - April)
Duration: 12-16 weeks recommended, more than 16 weeks also encouraged (12 month maximum)
Excellent programming skills in Python or Java
Experience with DevOps (Jenkins, Ansible, Terraform) and Containerization (Kuberneters, Docker) a plus
Knowledge of data structures and algorithms
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
How to build enterprise grade, reliable, and trustworthy software/services
Exposure to SQL and/or other database technologies
Understanding of database internals, large-scale data processing, and data warehouse design
Delivering quality software in a large distributed system with emphasis on functional and performance automation, workloads and testing
Experience building automation frameworks and infrastructure to improve efficient of development workflow
Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud Platform in particular
Database Query Engine (QA), Engineering Systems (ES), Cloud Platform & Deployment Engineering, Snowpark Container Services (SPCS), Quality & Release Engineering
Software-as-a-Service platform
Software frameworks for functional, system, performance & production testing
Tooling and infrastructure automation for engineering productivity
Multi-cloud release automation
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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 globally-distributed enterprise, with a team of more than 6,780 employees working in over 40 offices around the world. Hundreds of the world’s largest, use our AI Data Cloud to share data, build applications, and power their businesses.
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