Data Engineer (Internship)

Super; Toronto; Hybrid; CAD 134,000 - 234,000; Full time

Benefits offered by this job

Competitive salary

Learning allowance

Equity options

Performance reviews

RRSP/401k

Health insurance

Parental leave

Wellness reimbursement

Unlimited PTO

Remote work

Home office allowance

Job summary

Super is seeking a Data Engineer Intern for the Fall 2026 and Winter 2027 terms in Canada. You will build scalable ELT pipelines using a modern data stack and collaborate with analysts on a full-stack data team to deliver reliable data products.

You'll work with technologies like Airflow, Snowflake, dbt, Looker, and more, gaining autonomy to tackle complex problems while contributing to platform operations and data governance.

Qualifications

• Experience building scalable data pipelines and reporting tools.
• 6–18 months of Data Engineering or Software Engineering work experience, preferably in a startup environment.
• Familiarity with APIs and databases is a plus.

Responsibilities

• Build scalable and reliable ELT pipelines for large datasets.
• Collaborate with analysts on a full-stack data team.
• Maintain and improve data warehouse governance and platform operations.
• Create data models for analytics and marketing when needed.
• Write automated tests to ensure data integrity and reliability.

Skills

Data pipelines

Reporting tools

APIs & databases

Startup experience

Data engineering

Tools

Airflow

Snowflake

dbt

Looker

Fivetran

Kubernetes

AWS

Job description

• Term: This internship is for the Winter Term: January 4 - April 30, 2027
• 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
• 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

Benefits

• Competitive base salary
• Yearly learning & development allowance
• Generous equity options
• Bi-annual performance & compensation reviews
• RRSP & 401k employee contribution plan
• Health, dental, & vision insurance on day one
• Parental leave programs
• Wellness reimbursement
• Supplemental Life Insurance
• Unlimited PTO (yes, really!)
• Recharge days throughout the year
• Office in Toronto
• Permanent remote flexibility
• Work-from-home allowance

You have experience building scalable data pipelines and powerful reporting toolsYou thrive on decoding complex problems with logical, well-reasoned solutionsYou have experience with building backend applications, primarily working with APIs and databasesYou have at least 6-18 months of Data Engineering or Software Engineering work experience, preferably with exposure to a dynamic, startup environmentYou learn quickly, regardless of the languages and technologies used