Data Analytics Engineering Intern (Spring/Summer 2025)

161 Bay Street (93021), Canada, Toronto, Ontario

Data Analytics Engineering Intern (Spring/Summer 2025)

Our Capital One Data Analysis Team is looking for a Data Analytics Engineering Intern.

Working with us

At Capital One Canada, we listen to our people and our customers. We have adopted a flexible hybrid model (remote and/or in-office), where associates are expected to come into the office 3 days a week across Tuesdays and Thursdays, reserving Mondays and Fridays as company-wide virtual days. We recognize that everyone has a unique working pattern, so we’re open to discussing flexible working arrangements that best accommodate you.

We are committed to diversity, inclusion, and belonging. We strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged, and inclusive behaviours are embedded in everything we do.

A day in the life of a Capital One Data Analytics Engineering Intern:

As an intern, you will work with cross-functional teams to develop tools and data structures. You will be challenged to consider multiple options and select the optimal solution to meet the needs of your customers, owning the recommendation and resolution to existing business problems.

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 help deliver insights.
• Perform investigative analysis on large/diverse datasets.

The ideal candidate will be:

• Curious: You ask why, explore, and are not afraid to share disruptive ideas. You know SQL and are constantly exploring new open source tools.
• A Wrangler: You can quickly learn to programmatically extract data from a database or an API and convert it into a human-readable form.
• Creative: You are keen to work with abstract data and love discovering new narratives in unmined territories.

Basic qualifications:

• Will obtain a Bachelor’s degree or higher between December 2025 and June 2027.

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.

About Capital One Canada:

We've been helping millions of Canadians for over 20 years by providing them with access to credit when others wouldn’t. We're on a journey to put our customers first by building modern technology solutions to simplify and humanize the world of credit cards.

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If you have visited our website in search of information on employment opportunities or to apply for a position and require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.