Data Analytics Engineering Intern (Spring/Summer 2025)

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

Data Analytics Engineering Intern (Spring/Summer 2025)

 Data Analytics Engineering Intern

Our Capital One Data Analysis Team.

Yes, we’re a credit card company. But we’re more than that too. We’re driven by what our customers want, and how to make their lives simpler. 

We’re always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we’ll build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering. 

Working with us

How do we do things at Capital One Canada? We listen — to our people, and to our customers. We change with the times and have adopted a flexible hybrid model (remote and/or in-office). A flexible hybrid working model is one that creates the opportunity to match the work that we do to the environment that best supports that work. Associates working in the hybrid model are expected to come into the office 3 days a week across Tuesdays and Thursdays, reserving Mondays and Fridays as company-wide virtual days. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility. We recognize that everyone has a unique working pattern so we’re open to discussing flexible working arrangements that will best accommodate you.

At Capital One we’re 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 to positively impact associates. Strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and to help challenge the status quo and create the best outcomes for everyone. 

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

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

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.

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.

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

The ideal candidate will be:

• Curious: You ask why, you explore and you're not afraid to   share your 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, bring it through a transformation or two, and convert into a human-readable form (Matplotlib, Quicksight, Tableau, etc.)

• Creative: Big, undefined problems and petabytes of data don't frighten you. You're keen to work with abstract data and you love discovering new narratives in unmined territorie

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, and keep them there, by building modern technology solutions to simplify and humanize the world of credit cards.  We have the positive energy of a startup, with the advantages of a big company. 

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Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).