Overview

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

Associate, Data Analytics Engineering

Step Inside Capital One Canada - Data Analytics Engineering 2026 

Event Date: Thursday, August 28, 2025 from 1:00pm - 2:00pm 

Application Requirements:

• This opportunity is intended for students who will be applying to Full Time Associate and Winter Intern roles in 2026.

• Submit your application by August 21, 2025  to be considered for this exclusive experience.

• Please ensure you submit both your resume and your transcript.

Selected participants will receive an exclusive invitation to attend after the application deadline.

About the Experience

Join us for an exclusive Office Tour  and a chance to network with amazing professionals from across our business. You’ll get a behind-the-scenes look at our innovative workspace , meet inspiring Capital One associates , and discover what makes our culture so unique.

A day in the life of a Capital One Data Analyst

As a Data Analytics Engineering Associate, 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 datasets.

Basic Qualifications:

• Graduate in 2026 or later with a Master's or Bachelor's in Mathematics,  Computer Science, Engineering, or another quantitative discipline with a strong programming background.

Preferred Qualifications:

• 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.

• Experience with backend technologies such as GoLang, AWS Lambda, S3. 

• Experience with version control technology i.e. Git

• Experience with Jenkins CI/CD, microservices, API design / integration

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 ARCanada@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).