Software Engineer in Data Intern (8 Months)

Super; Toronto; Hybrid; CAD 28,000 - 45,000; Part time

Benefits offered by this job

Office in Toronto

Permanent remote flexibility

Work-from-home allowance

Job summary

Super.com is seeking a Software Engineer In Data intern to join the Data team during the Winter Term (Jan 4 – Aug 27, 2027). You will build data pipelines, own features end-to-end, and ship production-ready code in a fast-paced environment.

You will work on the analytics backend and data warehouses, shaping data strategies, ingesting and cleaning data, and collaborating with stakeholders to automate processes.

Qualifications

• 8+ months backend development experience, preferably in startup or scaleup environments.
• Interest in schemas, data modelling, and data warehouses.
• Experience with Python on the backend.
• Good understanding of relational databases and SQL.

Responsibilities

• Own features and data services end-to-end: deployment, monitoring, debugging, testing.
• Work on product analytics backend service and data pipelines.
• Ingest, clean, validate, and organize raw data for analysis.
• Collaborate with stakeholders to design automated data processes.

Skills

Python backend

SQL

Data modelling

ETL/ELT

Web services

CI/CD

Tools

Postgres

Airflow

Snowflake

FastAPI

Kubernetes

Job description

• Term: This internship is for the Winter Term: January 4 - August 27, 2027
• 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
• 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

Benefits

• Competitive base salary
• Yearly learning & development allowance
• Generous equity options
• Bi-annual performance & compensation reviews
• 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
• Office in Toronto
• Permanent remote flexibility
• Work-from-home allowance

• You thrive on decoding intricate problems with logical, well-reasoned solutions
• You are interested in designing schemas, data modelling, and working with data warehouses
• You are interested in working with Python on the backend
• You have a good understanding of relational databases and working with SQL
• You have experience taking ownership and shipping entire features end-to-end, including communicating with key stakeholders
• You learn quickly, regardless of the languages and technologies used
• You have at least 8 months of backend development work experience, preferably with exposure to a dynamic, startup or scaleup environment
• You are interested in working with ETL/ELT tools and building data pipelines