Data Engineering Intern
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 - April 30, 2027
What’s it like to intern atSuper.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 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.
What we’re looking for:
You have at least 6-18 months of Data Engineering or Software Engineering work experience, preferably with exposure to a dynamic, startup environment.
You learn quickly, regardless of the languages and technologies used.
You have experience building scalable data pipelines and powerful reporting tools.
You have experience with building backend applications, primarily working with APIs and databases.
You thrive on decoding complex problems with logical, well-reasoned solutions.
What We Offer:
Home Office Setup Allowance: $300 one-time
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.
Super.com is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify your Talent Acquisition Partner.