Data Engineering Intern
- Canada
- Remote
- Posted Sep 4, 2026
- 1 position
$20–$39 / hour
- Employment type
- Internship / apprenticeship
- Experience level
- Entry, Junior · 0+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Canada
This job has expired
This position at Super.com is no longer accepting applications. The original posting remains below for reference.
Expired Sep 18, 2026
Original job posting
The intern will build and maintain scalable ELT pipelines for large datasets while ensuring operational reliability and data integrity. They will also collaborate with the full-stack data team to improve warehouse governance and platform operations.
Job details
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 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 Winter 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.
What you’ll do
The intern will build and maintain scalable ELT pipelines for large datasets while ensuring operational reliability and data integrity. They will also collaborate with the full-stack data team to improve warehouse governance and platform operations.
Requirements
Candidates should have 6-18 months of data or software engineering experience, preferably in a startup environment. Proficiency in building scalable data pipelines, backend applications, and working with APIs and databases is required.
Benefits
• Home office setup allowance • Friday ubereats allowance • Learning & development allowance • Fitness/wellness allowance
Listed skills
- Kubernetes · Preferred
- Automated testing · Preferred
- Amazon Web Services · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data engineering
- Software engineering
- Data pipelines
- ELT pipelines
- Airflow
- Fivetran
- Snowflake
- Dbt
- Looker
- Hightouch
- Kubernetes
- AWS
- Backend development
- API development
- Database management
- Automated testing
- Full Stack Development
- Pipelines
- Apache Airflow
- Snowflake (Data Warehouse)
- Slack (Software)
- Quick Learning
- Application Programming Interface (API)
- Artificial Intelligence
- Amazon Web Services
- Data Engineering
- Data Integrity
- Data Modeling
- Data Quality
- Event Logging
- Warehousing
- Governance
- Marketing
- Scalability
- Operations
- Service-Oriented Architecture
- Software Engineering
- Reporting Tools
- Looker Analytics
- Data Pipelines
- Microservices
Job areas
- Technology
- Data & Analytics
- Software
- Engineering
- Data Engineering Intern
- Data Engineer
- Software Developers
- Database Administrators
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