Data Engineering Intern

Super.com
Canada, Toronto
Workplace: RemoteInternshipCAD 20.25 - 39.25 hourlyFunction: Healthcare (Clinical, Medical, Wellness)Experience: 6-18 yearsSkills: ["Learn quickly","Logical problem-solving"]

Build scalable, highly available ELT data pipelines for large datasets, partnering with analysts on a full-stack data team. Improve warehouse governance, ingest data from multiple sources, and maintain operational reliability and data integrity through automated testing. Use a modern data stack (Airflow, Fivetran, Snowflake, dbt, Looker, Hightouch) and distributed infrastructure on Kubernetes and AWS to create impactful improvements and reliable data uptime.

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FursaFursa
Super.com
Super.com
4 days ago

Data Engineering Intern

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build scalable, highly available ELT data pipelines for large datasets, partnering with analysts on a full-stack data team. Improve warehouse governance, ingest data from multiple sources, and maintain operational reliability and data integrity through automated testing. Use a modern data stack (Airflow, Fivetran, Snowflake, dbt, Looker, Hightouch) and distributed infrastructure on Kubernetes and AWS to create impactful improvements and reliable data uptime.
Location: Canada, Toronto
Workplace: Remote
Employment Type: Internship
Job Function: Healthcare (Clinical, Medical, Wellness)
Seniority: Intern level

Key Responsibilities

  • •Maintain and improve warehouse governance.
  • •Implement improvements in platform operations.
  • •Build and maintain pipelines that ingest large amounts of data from various sources.
  • •Write automated tests to ensure operational reliability and data integrity.
  • •Create data models for analytical and marketing purposes as needed.

Pay and Benefits

Salary: CAD 20.25 - 39.25 hourly
Perks:Home OfficeLearning BudgetWellness Stipend

Key Requirements

  • •At least 6-18 months of Data Engineering or Software Engineering work experience, preferably in a startup environment.
  • •Experience building scalable data pipelines and reporting tools.
  • •Experience building backend applications, primarily working with APIs and databases.
  • •Learn quickly across changing languages and technologies.
  • •Thrive on decoding complex problems with logical, well-reasoned solutions.
Experience:6-18 yearsStartup environment
Skills:Learn quicklyLogical problem-solving
Tech Stack:AirflowFivetranSnowflakeDbtLookerHightouchKubernetesAWSELTAPIsData pipelinesMicro-servicesSOAAutomated testsWarehouse governance

Company Brief

Super.com
Super (formerly Snapcommerce) is a consumer fintech platform that helps users save on online purchases, find deals, and access financial tools through AI-driven price discovery, cashback, and payment solutions across e-commerce and travel verticals.
Industry: Payments
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Toronto, Canada
Founded: 2016
WebsiteLinkedIn