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Software Engineering Intern, Data

Supercom

At Super.com , we’re on a mission to help people save more, earn more, and get more out of life. That goes for both our customers and our team.

For our employees, Super.com is more than just a workplace - it’s an opportunity to grow, make an impact, and unlock your full potential. We invest in learning, celebrate bold ideas, and create pathways for career growth.

We move fast, think big, and always put people first. Your career should be as rewarding as the work you do, and at Super.com , we’re here to make every day Super.

Term: This internship is for the Fall Term: September 8th - December 18th 2026

What’s it like to intern at Super.com ?

Interning at Super.com is an exciting chance to dive into the world of tech and startups, work on real projects, and learn a ton along the way. From day one, interns are fully part of the team - contributing to work that actually ships and gets used. It’s a fast-moving yet super supportive environment where you’re encouraged to ask questions, try new things, and grow through hands-on experience. Many interns say it’s the most they’ve learned in such a short time! Even though we’re remote, the culture is fun, collaborative, and well-connected- you’ll be included in team meetings, Slack chats, and social events, so you’ll never feel like you’re doing this alone.

About this role

We are looking to hire a Software Engineer In Data intern to join our growing Data team. As a Software Engineer In Data at Super.com , your work will span from application development and maintenance to our post production enterprise data warehouse, ensuring a congruent flow. You will own, build, maintain, and enhance processes to ensure this end to end reliability.

What you’ll be working on:

  • Ship technically challenging projects end-to-end in a fast-paced, iterative environment.

  • Have the opportunity to very meaningfully propel the business forward, and recognize the impact of your work on the company’s business metrics.

  • Own features, services, caches, and databases, including: deployment, monitoring, debugging, and testing.

  • Write production-ready, well-tested code in your first week.

  • Work on our product analytics backend service and our data pipelines.

  • Be an ambassador for our data-driven culture, taking data and shaping it to facilitate analysis, insight generation, and decision-making.

  • You will ingest, clean, validate, and organize raw data in a way that makes sense for both product and analysis.

  • You will help shape data strategies between systems within the organization to ensure consistent and predictable consumption.

  • You will work with key stakeholders to understand existing processes and collaborate to design and implement improved and automated processes.

Our Tech

  • We use a state of the art architecture powered by microservices written primarily in Python (FastAPI). We use Postgres for our relational database. For transparency, we use React for the frontend but for this role, it will be seldomly be used.

  • We use Gitlab for version control and CI/CD, and our infrastructure is hosted on AWS (using Kubernetes). It takes under 30 minutes for merged code to reach production

  • We invest heavily in monitoring and automated alerting using Datadog for application monitoring, Elementary for data monitoring, and BigEye for data freshness.

  • We use Amplitude client-side metrics and experimentation, Snowflake for our data warehouse, and Airflow for building data pipelines.

What we’re looking for:

  • You have at least 8 months of backend development work experience, preferably with exposure to a dynamic, startup or scaleup environment.

  • You have a good understanding of relational databases and working with SQL.

  • You learn quickly, regardless of the languages and technologies used.

  • You have experience taking ownership and shipping entire features end-to-end.

  • You thrive on decoding intricate problems with logical, well-reasoned solutions.

  • You are interested in working with ETL/ELT tools and building data pipelines.

  • You are interested in working with Python on the backend.

  • You are interested in designing schemas and data modelling.

What We Offer:

  • Home Office Setup Allowance: $300 one-time

  • Friday UberEats Allowance: $25/week

  • Learning & Development Allowance: $300/ per term

  • Fitness/Wellness Allowance: $120/per term

Candidates can be based anywhere in Canada, provided they maintain a minimum 6-hour overlap with the Eastern Time Zone and are available to work a 40-hour work week.

We’re a remote-first company, but you’re always welcome to join us at our head office on 260 Queen Street West in Toronto. We also host virtual and in-person socials where interns can connect, play games, and meet others - including company - wide game nights and events. While optional, these are great ways to build connections and make the most of your Super.com experience.

At Super.com , we are proud to leverage cutting-edge artificial intelligence (AI) technology to make our hiring process smarter, faster, and more inclusive. By integrating AI tools into our recruitment, we enhance our ability to identify top talent efficiently while promoting fairness and consistency for every applicant.

Super.com is an equal opportunity employer. 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 your Talent Acquisition Partner.

Vacancy posted more than 2 months ago
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