Data Science Intern, Snowflake

Summer 2026

Salary not provided

$36.00 - $40.00 per hour. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan

SQL

Python

Snowflake

Semantic

dbt

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

AI Data Cloud for data sharing and app building

Job no longer available

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Job no longer available

Salary not provided

$36.00 - $40.00 per hour. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan

SQL

Python

Snowflake

Semantic

dbt

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

If you love big questions, clean architecture, sharp thinking, and a team that expects you to run with real responsibility, this is the place
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
You love experimentation
You’re comfortable with Python, modeling, and statistical thinking
You enjoy translating insights into decisions

What the job involves

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
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:
Build predictive models and evaluate their performance
Support development of AI agents using Snowflake Intelligence
Partner with domain experts to refine problem framing
Analyze patterns in product usage, customer behavior, or operational workflows
Contribute to internal research on agent safety, quality, and guardrails

Our take

Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.

The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.

Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

37% employee growth in 12 months

Glassdoor (3.9)

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

LATE VC

Oct 2018

$450m

LATE VC

Total funding: $1.4bn

Company benefits

Comprehensive health insurance plans
Health savings accounts
Robust retirement plans
Life and disability insurance
Weekly online lunch and learns
Virtual workout classes
Ergonomic work-from-home equipment
On-demand mental health and wellness programs
Fertility benefits and family planning resources
Generous time-off and various leave plans
Onsite and Remote Work
Employee discounts and pre-tax selections
New hire equity + Employee Stock Purchase Plan (ESPP)
Quarterly bonus or commission program

Company HQ

Menlo Park, CA

Leadership

Benoit Dageville

(Co-Founder & President of Product)

Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.

Thierry Cruanes

(Co-Founder)

Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.

Sridhar Ramaswamy

(Chief Executive Officer)

Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.

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