Build the future of data. Join the Snowflake team.

There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.

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. In this role you will assist the Sales Engineering team in their day to day duties.

The Sales Engineering team is looking for a motivated individual with a technical background to assist in the day-to-day operations as well as implement customer-facing demos for prospects and customers.

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, 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

WHAT WE EXPECT:

• Must be actively enrolled in an accredited college/university program during the time of the internship
• Desired Class Level: 2nd/3rd/4th year Undergraduate
• Desired majors: Computer Science, Mathematics & Statistics, Engineering, Data Science & Analytics
• Required coursework: Python, SQL, Mathematics & Statistics
• Recommended coursework: Data Science
• Bonus Experience: Prior experience working as a team in a similar role in Data & Analytics

WHAT YOU WILL LEARN / GAIN:

• Develop technical skills in the data & analytics space
• Gain experience working with customers and solving their problems
• Enhance project management skills
• Develop teamwork and communication skills
• Gain experience working on the Snowflake platform and the ecosystem of partner tools

POSSIBLE TEAMS / WORK FOCUS AREAS: (if applicable)

• Collaborate with Sales and the Sales Engineering team to develop custom demos for customers and prospects.
• Help with the day to day operations of managing a territory as a sales engineer.
• Create solutions to streamline the sales engineering operations

The following represents the expected range of compensation for this role:

• The estimated pay range for this role is $33 - $44 per hour.

The successful candidate’s starting hourly rate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; flexible spending & health savings account; employee assistance program; and other company benefits.

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?

We deliver the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. That whole “silo” thing? Gone. Because inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.