Offer summary

Qualifications:

At least 6-18 months of experience in Data Engineering or Software Engineering, preferably in a startup environment., Proficiency in building scalable data pipelines and reporting tools., Ability to learn quickly across various languages and technologies., Strong problem-solving skills with a logical approach..

Key responsibilities:

Build and maintain data pipelines that ingest large datasets from multiple sources.

Set up Reverse-ETL syncs for operational analytics.

Write automated tests to ensure data integrity and operational reliability.

Implement improvements in platform operations.

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 Summer 2024 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. 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 improvements in our platform operations

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

$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.

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