Hybrid Data Analytics Engineering Intern - Summer 2027

Capital One Canada; Toronto; Hybrid; CAD 45,000 - 68,000; Full time

Job summary

Capital One Canada is seeking a Data Analytics Engineering Intern to collaborate with cross-functional teams and build data tools and structures for decision making. You will own end-to-end problem solving from identification to deployment, contributing to critical data processes and reporting.

You will work in a data-driven, collaborative environment with a hybrid model and mentorship to grow technical and communication skills across SQL, Python, and cloud tools.

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.

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 visualisations that helps deliver insights.
• Perform investigative analysis on large/diverse dataset.

Skills

SQL

Python

Unix/Linux

Git

AWS

APIs

Communication

Internship experience

Education

Bachelor's degree or higher (Sept 2027–Sept 2028)

Tools

dbt

Snowflake

Job description

Capital One Canada is seeking a Data Analytics Engineering Intern to collaborate with cross-functional teams and build data tools and structures for decision making. You will own end-to-end problem solving from identification to deployment, contributing to critical data processes and reporting.

You will work in a data-driven, collaborative environment with a hybrid model and mentorship to grow technical and communication skills across SQL, Python, and cloud tools.