Capital One is a data-driven technology and banking company focused on customer-first solutions. The Data Analytics Engineering Intern will work with cross-functional teams to develop data structures, processes, reporting, and visualizations, while analyzing large datasets and taking solutions from problem identification through 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
Qualification
Required
Will obtain a Bachelor's degree or higher between September 2027 and September 2028
Preferred
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
Benefits
Access to tools and mentorship to understand your potential.
Hybrid model with 3 days in the office per week, allowing room for collaboration and personal commitments.
Robust onboarding program, orientation sessions, buddy program for new hires, and early career development programs.
Foundational training and opportunities to build connections with peers and leaders.
Capital One is a financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.
