Intern, Data Engineer
About The Position
With a career at The Home Depot, you can be yourself and also be part of something bigger. 2026 Summer Student Internship/Co-op Opportunity – Intern, Data Engineer About the co-op/internship program: Looking to turn classroom learning into real-world experience? The Home Depot Canada Internship/Co-op Program is your chance to apply what you’ve studied in a dynamic, hands-on environment. Over 16 weeks, you’ll work on projects that make a real impact, sharpen your skills, and build confidence for your future career. Program highlights include: Comprehensive Onboarding: Gain insights into our business operations, organizational culture, and core values. Strategic Projects: Address genuine business challenges, explore innovative approaches, and contribute meaningful solutions. Project Presentation: Share your findings and project outcomes with senior leadership. Professional Development Sessions: Participate in weekly sessions designed to enhance skillsets, reinforce company values, and provide perspectives from leaders across the organization. Networking Opportunities: Establish connections with mentors and peers who will support your professional growth throughout the program. Duration: May 4 – August 21st, 2026 # of positions available: 1 Locations: Toronto Store Support Center - 1 Concorde Gate, North York. In office Monday – Friday Join Our Team: Join the Data Engineering team, where data is our most valuable product. We process massive datasets to power real-time decisions and customer experiences. As an intern, you won't watch from the sidelines, you’ll design pipelines, optimize cloud infrastructure, and ship code to production. We value curiosity over perfection and offer dedicated mentorship to bridge the gap between university theory and enterprise engineering. If you want to solve complex logic puzzles at scale, join us! Job Summary: As a Data Engineering Intern, you will play a key role in building and optimizing data pipelines that power analytics and decision-making. You’ll develop ETL/ELT workflows using Python and SQL, integrate data from third-party APIs, and assist in designing efficient data warehouse schemas for our Data Science team. Additionally, you’ll contribute to maintaining high code quality through reviews and best practices, gaining hands-on experience in scalable data engineering solutions.
Requirements
- Currently pursuing a degree or diploma in Computer Science or Software Engineering.
- Have studied Data Structures & Algorithms and Database Management courses.
- SQL and Python Proficiency
- Database Concepts: You understand the difference between a transactional database (Postgres/MySQL) and an analytical warehouse (BigQuery).
- The successful student will be currently enrolled in a Canadian accredited university or college throughout the period of the Internship/Co-op program.
- you must be legally entitled to work in Canada by way of Canadian citizenship, permanent residency, or a valid study/work permit.
Responsibilities
- building and optimizing data pipelines that power analytics and decision-making
- develop ETL/ELT workflows using Python and SQL
- integrate data from third-party APIs
- assist in designing efficient data warehouse schemas for our Data Science team
- contribute to maintaining high code quality through reviews and best practices
Benefits
- Gain hands-on experience designing and optimizing ETL/ELT workflows using Python and SQ
- Understand how to connect third-party APIs and design efficient data warehouse schemas for analytics and data science
- Bridge the gap between academic theory and real-world engineering challenges with dedicated mentorship
- Work in a dynamic team environment that values curiosity, creativity, and continuous learning
- Coaching and mentoring
- Performance feedback, leadership, and development opportunities
- Full-time health and dental benefits, and matching donation program
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Associate degree
