Super.com - Data Engineering Intern

• CA$34.50 – CA$40.00 per hour • Compensation for this internship will be determined based on the number of prior work terms or internships you have successfully completed, in alignment with our intern pay structure. • 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. • For our employees, Super.com is more than just a workplace - it’s an opportunity to grow, make an impact, and unlock your full potential. We invest in learning, celebrate bold ideas, and create pathways for career growth. • We move fast, think big, and always put people first. Your career should be as rewarding as the work you do, and at Super.com, we’re here to make every day Super. • Term: This internship is for the Fall Term: September 8th - December 18th 2026 • Term: • September 8th - December 18th 2026 • What’s it like to intern at Super.com? • 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. • 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 uptime, and work directly with analysts on a full-stack data team. You’ll have lots of autonomy to create impact while tackling intricate technical problems. • What you’ll be working on: • Maintaining and improving warehouse governance. • Implement improvements in our platform operations. • Building and maintaining pipelines that ingest large amounts of data from various sources. • Write various styles of automated tests to ensure operational reliability and data integrity. • From time to time create data models for analytical and marketing purposes. • Our Tech • We use a SOA architecture powered by many micro-services, including the bot platform, the NLP engine and the pricing/recommendation engines. • We use a modern data stack of Airflow, Fivetran, Snowflake, dbt, Looker, Hightouch, and more. • We built a proprietary event logging platform which processes terabytes of data weekly. • We have a distributed ELT infrastructure hosted using Kubernetes and AWS. • Friday UberEats Allowance: $25/week • Learning & Development Allowance: $300/ per term • Fitness/Wellness Allowance: $120/per term • Candidates can be based anywhere in Canada, provided they maintain a minimum 6-hour overlap with the Eastern Time Zone and are available to work a 40-hour work week. • We’re a remote-first company, but you’re always welcome to join us at our head office on 260 Queen Street West in Toronto. We also host virtual and in-person socials where interns can connect, play games, and meet others - including company - wide game nights and events. While optional, these are great ways to build connections and make the most of your Super.com experience.At Super.com, we are proud to leverage cutting-edge artificial intelligence (AI) technology to make our hiring process smarter, faster, and more inclusive. By integrating AI tools into our recruitment, we enhance our ability to identify top talent efficiently while promoting fairness and consistency for every applicant.