About Super.com
We started Super.com [https://www.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
[https://www.super.com/press/super-2022-fast-500]; 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
[https://www.super.com/careers] that fuel who we are.
About the Role
We are looking for a Data Engineer Intern to join our growing team. 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.
\n
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
We've got you covered
- $300 One-time home office set up allowance. Compensation for this internship
will be determined based on the number of prior work terms or internships you
have successfully completed, in alignment with our intern pay structure.
- $25/Week UberEats allowance on Fridays
- $300/Term Learning and Development allowance
- $120/ Term Fitness/Wellness allowance
- Top 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
\n
$34.50 - $40 an hour
Compensation for this internship will be determined based on the number of prior
work terms or internships you have successfully completed, in alignment with our
intern pay structure.
\nWe 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.
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.
