Snowflake
Snowflake
Applications Closed
Posted 5 months ago
Internship
Menlo Park, California
In Person
Smart Summary
Responsibilities
Interns will build semantic models and metrics layers, develop curated datasets and dashboards, and support metric governance. They will work closely with business partners across various departments.
Qualifications
Snowflake is seeking students with strong analytical and technical skills for a Summer 2026 Analytics Engineering Internship. The ideal candidate will be pursuing a degree in Computer Science, Data Science, or a related field and possess curiosity about building with AI. This internship offers the opportunity to work on real-world problems and learn from experts in the field.
Job Description
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 internship roles 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.
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
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.
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
Build semantic models and metrics layers
Develop curated datasets and dashboards using SQL, Python, and dbt
Translate ambiguous business needs into structured definitions
Support metric governance and the accuracy and performance of agentic workflows
Work closely with business partners across Sales, Finance, Product, and Marketing
You love the mix of technical thinking and business reasoning
You enjoy transforming messy inputs into clean, trusted outputs
You can explain analytical choices as clearly as you can implement them
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
The following represents the expected range of compensation for this role:
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.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
Snowflake
Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI 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 AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.
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