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Data Engineering Intern

Ontario, Canada (Remote)

Data Engineering Intern

2 Weeks ago • Upto 1 Years • Data Analyst • Undisclosed

About the job

3 skills required for this role

Add these skills to join the top 1% applicants for this job

kubernetes

looker

aws

Job Description

As a Data Engineering Intern at Super.com (Spring/Summer 2025), you'll build scalable and highly available data pipelines using modern technologies. You will work with large datasets (over 10 million searches daily), building reliable ELT pipelines, ensuring high data quality and uptime. Responsibilities include creating data-intensive applications, working with analysts, and implementing A/B tests to improve user acquisition and revenue. You'll utilize a modern data stack (Airflow, Fivetran, Snowflake, dbt, Looker, Hightouch, etc.) within a SOA architecture and contribute to a proprietary event logging platform. The role offers significant autonomy and the chance to tackle complex technical challenges.

Must have:

Build and maintain data pipelines
Set up Reverse-ETL syncs
Write automated tests
Implement A/B tests

About Super.com

We started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.

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.

About the Role

We are looking for a Data Engineer Intern to join our growing team for the Spring/Summer 2025 Term (May - Aug). 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.

Challenges You'll Solve

Building and maintaining pipelines that ingest large amounts of data from various sources
Setting up Reverse-ETL syncs to power operational analytics
Write various styles of automated tests to ensure operational reliability and data integrity
Implement & launch high impact A/B tests that will help us acquire users and grow our revenue

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

We Believe in Equal Opportunity

We are an equal opportunity employer and value diversity at our company. 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 our Talent Acquisition Partner.

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