Software Engineer Intern, Snowflake

Infrastructure Automation - Fall 2026

Salary not provided

$42.00 - $60.00 per hour

SQL

AWS

Docker

Kubernetes

GCP

Python

Java

Terraform

Jenkins

Ansible

Azure

San Francisco Bay Area

3-5 days a week in office

AI Data Cloud for data sharing and app building

Be an early applicant

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Be an early applicant

Salary not provided

$42.00 - $60.00 per hour

SQL

AWS

Docker

Kubernetes

GCP

Python

Java

Terraform

Jenkins

Ansible

Azure

San Francisco Bay Area

3-5 days a week in office

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

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: Fall 2026
Eligible start date options: August 17, August 31, September 14
Eligible end date options: November 6, November 20, December 4, December 18
Duration: 12 week minimum, 16 weeks recommended (12 month maximum)
Excellent programming skills in Python or Java
Experience with DevOps (Jenkins, Ansible, Terraform) and Containerization (Kubernetes, 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

What the job involves

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
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
Possible Teams/Work Focus Areas:
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

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

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

SERIES G

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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