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Data Engineering Intern

extra holidays - fully flexible

Remote:

Full Remote

Contract:

Internships

Salary:

48 - 48K yearly

Experience:

Entry-level / graduate

Work from:

Canada

Offer summary

Qualifications:

6-18 months of Data Engineering experience, Familiarity with modern data stack, Experience in scalable data pipelines, Ability to troubleshoot complex problems.

Key responsabilities:

Build and maintain data ingestion pipelines
Implement Reverse-ETL syncs for analytics

Super Information Technology & Services SME http://www.super.com/

201 - 500 Employees

HQ: Toronto

See more Super offers

Job description

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

About You

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 thrive on decoding complex problems with logical, well-reasoned solutions

We've got you covered

Compensation: we pay our Interns top-of-market

$300 One-time home office set up allowance

$25/Week UberEats allowance on Fridays

$300/Term Learning and Development allowance

$120/ Term Fitness/Wellness allowanceTop Talent: work with the best in the world, including Engineers and Leadership from Google, Facebook, Wish, YouTube, Uber, and more

Build Something Great: most importantly, build a product used by millions around the world - have ownership, have impact, and do great work

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.