Data Engineer (Toronto)

Data Engineer (Toronto)

11 Sep
|
super
|
Toronto

11 Sep

super

Toronto

Who you are

- You have at least 6-18 months of Data Engineering or Software Engineering work experience, preferably with exposure to a agile, startup environment

- You learn quickly, regardless of the languages and technologies used

- You have experience building scalable data pipelines and powerful reporting tools

- You have experience with building backend applications, primarily working with APIs and databases

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

What the job involves

- 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

The application process

- Deadline to Apply: 17 September 2026 at 07:59 BST

Benefits

- Competitive base salary
- Yearly learning & development allowance

- Bi-annual performance &

compensation reviews

- Generous equity options
- 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

- Permanent remote flexibility
- Work-from-home allowance

- Office in Toronto

📌 Data Engineer (Toronto)
🏢 super
📍 Toronto

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