Intern, Data Analytics Engineering - Fall

Position: Intern, Data Analytics Engineering - Fall 2026
Intern, Data Analytics Engineering
- Fall 2026 Hot Opportunity Data / ML Internship# Intern, Data Analytics Engineering
- Fall 2026at Capital One
** Location
* * Toronto, Ontario Remote
** Details
* * Intern
· Fall 2026
** Posted
* * Jun 12, 2026

Apply on company site →Direct apply link, refreshed by the daily generator.## About the Role Transform data, build pipelines, generate insights## About Capital One Major bank with data-driven engineering culture## Full Description
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Intern, Data Analytics Engineering - Fall 2026
** About Capital One Canada.
** For 30 years, we’ve been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. We want to help Canadians succeed with credit, because we believe in people — in our customers, in our associates, and in talent like you!
** About The Team
** Capital One is more than you think. We're a data-driven tech company that just happens to do credit cards. We focus on customer-first solutions, and we're united with this common goal. We have all the advantages of a startup, with the resources of a big company. Working here means you're curious, innovative spirit will be encouraged as you push boundaries and try new things, while your career is nurtured and supported.

Our environment is creative and filled with teams that are passionate about the dynamic work they're doing. We're ahead of other banks in tech and we want to keep it that way.
** About

The Role
** As a Data Analytics Engineering Intern, you will work with cross-functional teams to develop tools and data structures. As a creative problem-solver, you will be challenged to consider multiple options and select the optimal solution to meet the needs of your customers. You will own the recommendation and resolution to an existing business problem and will be involved end to end, from problem identification to solution deployment.

Your Responsibilities:
* Transform data into data structures in our data lake and Snowflake data warehouse that are leveraged for business decision making.
* Create, enhance and maintain critical data processes.
* Act as a steward for our data: ensuring it is high quality, trustworthy, well documented, and easy to use.
* Build, automate, and maintain critical business reporting and visualizations that helps deliver insights.
* Perform investigative analysis on large/diverse dataset.

Basic Qualifications:

* Will obtain a Bachelor’s degree or higher between January 2027 and September 2028.

Preferred Qualifications:

* Pursuing a Bachelor's degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong programming background.
* Familiarity with SQL and/or data transformation tools such as dbt. Python experience would also be an asset.
* Experience building and maintaining data pipelines.
* Ability to shape and develop requirements into practical solutions.
* Ability to clearly explain technical terms to a non-technical audience.
* Experience in a Unix/Linux environment, with Git, AWS, or APIs.
* Excellent verbal and written communication skills.
* Previous intern experience.

Application:
* Must include your resume and unofficial transcript in the attachment section when you create your profile to apply.
* If you are a Waterloo student, please apply directly on Waterloo Works.

Working at Capital One.

Enjoy a hybrid work environment, with 3 days in the office. Build a comfortable workspace with our one-time, Work From Home allowance and enjoy our head office located conveniently across the street from Union Station.

Live well—physically, financially and emotionally. Receive support for you and those who are most important to you, with full coverage for spouses, domestic partners, and dependents. With up to $3000 in mental health coverage and up to $5000 in tuition subsidies per year—and much more—you’ll discover that Capital One is committed to helping you live your best life.

This posting is for an existing vacancy.

We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment…