Data Engineering Intern (8 months)

Super.com
CanadaPosted Sep 4, 2026
Data Science / MLFall 2026

About the role

At Super.com, we’re on a mission to help people save more, earn more, and get more out of life. That goes for both our customers and our team. We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are. At Super.com, we celebrate and reward our high performers. Follow this link to learn more about our Internship Scholarship Program and how you can further benefit from a work engagement with us. We have successfully hosted over 100 engineering internships, and always have our interns working alongside our full-time developers on core projects. Term: This internship is for the Winter Term: January 4 - August 27, 2027 What’s it like to intern at Super.com? Interning at Super.com is an exciting chance to dive into the world of tech and startups, work on real projects, and learn a ton along the way. From day one, interns are fully part of the team - contributing to work that actually ships and gets used. It’s a fast-moving yet super supportive environment where you’re encouraged to ask questions, try new things, and grow through hands-on experience. Many interns say it’s the most they’ve learned in such a short time! Even though we’re remote, the culture is fun, collaborative, and well-connected- you’ll be included in team meetings, Slack chats, and social events, so you’ll never feel like you’re doing this alone. About this role We are looking for a Data Engineer Intern to join our growing team for the Fall 2026 Term. In this role, you will have the opportunity to build scalable and highly available data pipelines using modern tech and tools on one of Canada’s fastest-growing startups. As a Data Engineer, you’ll build highly reliable and scalable ELT pipelines for large datasets (we do over 10 million searches/day). You’ll work on data-intensive applications, ensuring high data quality and

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