Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
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.
Build with Data. Think with AI. Learn with Leaders.
Snowflake’s Data, Analytics & AI (DAA) team is opening paid internshiproles for Summer 2026. This is an opportunity to work alongside the team that builds AI-ready data foundations, designs enterprise-grade AI systems, and pioneers how organizations transform with data.
If you love big questions, clean architecture, sharp thinking, and a team that expects you to run with real responsibility, this is the place.
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: Undergraduate, Masters, or PHD Students
Desired majors: Computer Science, Data Science, Mathematics, Statistics, Engineering, Business Analytics, Economics, or Similar Fields
Start Date: May 11th, May 26th or June 22nd
Strong analytical and technical skills
Curiosity about how great organizations build with AI
A bias for action
Integrity and attention to detail
Willingness to ask questions
Our interns work on meaningful problems that ship. You won’t sit in a corner polishing mock datasets. You’ll help build the systems that Snowflake uses every day.
You’ll learn from senior leaders, analytics engineers, product thinkers, data scientists, and AI builders across the company. We take mentorship seriously. It's how we were raised professionally, and we honor that tradition.
WHAT YOU WILL LEARN / GAIN:
Enterprise data platforms
Semantic layers
Data quality, observability, and lineage
Operational and Go-to-Market AI agents
Analytics engineering practices
Snowflake’s AI offerings (e.g., Snowflake Intelligence, Cortex Search Services, Cortex Analyst)
Sigma, Streamlit, Python, SQL, dbt, and more
WHAT YOU'LL DO:
Develop and maintain data pipelines using SQL, Python, and Snowflake native tools
Build and optimize bronze/silver/gold datasets
Implement data quality checks, lineage, and observability dashboards
Support structured and unstructured data ingestion for internal AI agents
Work with analytics engineers to productionize trusted datasets
YOU'RE A GOOD FIT IF:
You enjoy building clean, reliable systems
You’re comfortable writing SQL
You like thinking about structure and scale
You get a small thrill from shaving seconds off query runtimes
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.
The following represents the expected range of compensation for this role:
The estimated pay range for this role is $30.00 - $34.00 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?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
