ACCOUNT ENGINEER INTERN — SUMMER 2026

Snowflake
US-CO-DenverPosted 1 April 2026

Job Description

ACCOUNT ENGINEER INTERN — SUMMER 2026 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. 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. 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. THE OPPORTUNITY The Account Engineer Intern is a high-impact role designed to accelerate the customer journey from initial acquisition to successful platform adoption on the Snowflake AI Data Cloud. You will support new and early-stage customers in achieving rapid implementation, quick value, and a world-class experience on the Snowflake platform. You will be tasked with developing solutions to help this fast paced, growing organization of pioneers scale their impact to customers and the company. This is a fantastic opportunity for students eager to develop deep expertise in cloud data architecture, make a measurable impact on customer success, and contribute to one of the fastest-growing technology companies. WHAT WE OFFER - Paid, full-time internship 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: Pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering,Mathematics, Information Systems, or related fields - Start Date: May 11, May 26th, or June 22nd - End Date: July 31st, Aug 14th, Aug 28th, or Sept 4th - Hands-on experience or coursework in SQL• Foundational understanding of data architecture, data analytics, and core concepts of major cloud platforms (AWS, Azure, Google Cloud) - Familiarity with AI-powered development tools and coding agents - Ability to build solutions and demos quickly, with a team or independently - Able to quickly understand problems and view them in the larger business context - Excellent written and verbal communication skills with the ability to communicate technical concepts clearly to diverse audiences - Fast learner with a strong growth mindset WHAT SETS YOU APART - SnowPro Core certification - Proficiency in Python, Java, or Scala, especially in a data or application development context - Experience with modern data technologies (e.g., CI/CD tooling, orchestration tools) or a basic understanding of Data Science concepts - Experience in AI conferences or competitions - Familiarity with NLP concepts like prompt engineering, chaining, and fine-tuning - Familiarity with containers WHAT YOU WILL LEARN / GAIN - Experience working ... (truncated, view full listing at source)
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