Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailStep 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. Youll 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 Masters or Bachelors 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
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- or via email at . 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 Ones recruiting process please send an email to
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).
Required Experience:
IC
Full-Time