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Data and AI · Canada

Data Engineer in Canada

If you like building the pipelines and platforms behind the data, not just the reports, this role is for you.

A data engineer builds the systems that move, clean and store data at scale: pipelines from source systems to a warehouse, transformations in SQL and Python, and the platforms on which analysts and data scientists work. It is the backbone of every data team.

Essential skills
Advanced SQLPythonSparkCloud data platforms (BigQuery, Snowflake, Redshift)Airflow or similar orchestrationData modellingData quality and testing
man in blue dress shirt using computer
Indicative payCAD 75,000 to 100,000 a year1 role with partners
Photo: Firosnv. Photography on Unsplash
Indicative payCAD 75,000 to 100,000 a year
LanguageEnglish, proven with IELTS or CELPIP
Visa pathwayExpress Entry or an employer work permit
Key certificationAWS Solutions Architect Associate
Course length12 weeks

How to get there: 4 steps to Data Engineer in Canada

  1. 1Credential assessment

    WES assessment of your degree.

  2. 2Language test

    IELTS General or CELPIP.

  3. 3Express Entry

    Data engineers fall under technology occupations with targeted draws.

  4. 4Job search

    Banks, telecom and retail in Toronto hire data engineers steadily.

Career progression and pay in Canada

0 to 2 yearsJunior data engineer

Pipelines and transformations under a senior engineer.

2 to 5 yearsData engineer

Owns a data domain's pipelines and models.

5+ yearsSenior data engineer or data platform lead

Platform architecture and team leadership.

Next movesNext moves

Analytics engineer, ML engineer, data architect.

Why Canada

Canada runs the most predictable skilled immigration system of any major destination. Express Entry ranks you on age, education, work experience and language, and healthcare and technology occupations get targeted draws. Nurses go through credential assessment and the NCLEX-RN exam; data and software professionals move on skills and experience.

A data engineer builds the systems that move, clean and store data at scale: pipelines from source systems to a warehouse, transformations in SQL and Python, and the platforms on which analysts and data scientists work. It is the backbone of every data team.

Most data engineers start as analysts or developers; the Walnutcraft course is designed for that step, and for engineering graduates with strong SQL and Python.

Cloud certification plus Spark experience is what Canadian job descriptions ask for.

What you will do

  • Build and schedule data pipelines
  • Model data in a warehouse or lakehouse
  • Process large data with Spark
  • Monitor data quality and pipeline health
  • Work with analysts and scientists on their data needs

Who hires in Canada

Banks, insurers, telecom, retail and product companies.

Industries

Product and SaaS companiesBanks and fintechE-commerceIT servicesTelecom

Same career, other countries

Start towards Data Engineer in Canada

Talk to a counsellor about your qualification and timeline, or go straight to the course.