Engineer Salary in Canada during 2024

Salary details

The average Engineer salary lies between USD 90,000 and USD 158,000 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Jan. 19, 2025

Top 20 Job Tags for Engineer roles

The three most common job tag items assiciated with Engineer job listings are Engineering, Python and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Engineering | 48052 jobs Python | 46893 jobs Machine Learning | 34158 jobs Computer Science | 30531 jobs SQL | 26461 jobs Pipelines | 25369 jobs Architecture | 24216 jobs AWS | 23498 jobs Security | 19010 jobs Testing | 17706 jobs Azure | 16699 jobs Java | 15883 jobs Research | 15514 jobs Agile | 15452 jobs Data pipelines | 14859 jobs Spark | 14548 jobs ETL | 14280 jobs GCP | 13114 jobs Big Data | 12941 jobs APIs | 12036 jobs

Top 20 Job Perks/Benefits for Engineer roles

The three most common job benefits and perks assiciated with Engineer job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 43274 jobs Health care | 23078 jobs Equity / stock options | 17361 jobs Flex hours | 15856 jobs Startup environment | 13802 jobs Competitive pay | 13042 jobs Team events | 10978 jobs Flex vacation | 10912 jobs Salary bonus | 10667 jobs Insurance | 10294 jobs Medical leave | 9953 jobs Parental leave | 9367 jobs 401(k) matching | 5841 jobs Wellness | 5666 jobs Conferences | 3114 jobs Relocation support | 3094 jobs Home office stipend | 2593 jobs Transparency | 2315 jobs Fitness / gym | 2087 jobs Flexible spending account | 2059 jobs

Salary Composition

In Canada, the salary composition for AI/ML/Data Science roles can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components:

• Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation. In major tech hubs like Toronto or Vancouver, the base salary might be higher due to the cost of living and demand for talent.

• Bonus: Bonuses can be performance-based or company-wide and are often a percentage of the base salary. In larger tech companies or financial institutions, bonuses can be substantial, sometimes ranging from 10% to 20% of the base salary.

• Additional Remuneration: This includes stock options, equity, or other incentives like profit-sharing. Startups or tech giants often offer stock options as a way to attract and retain talent, which can be a significant part of the total compensation package.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest technologies and methodologies in AI/ML. Specializing in high-demand areas like deep learning, natural language processing, or computer vision can make you more valuable.

• Advanced Education: Pursuing a master's or Ph.D. in a related field can open doors to higher-paying roles, especially in research or leadership positions.

• Networking and Industry Engagement: Attend conferences, workshops, and meetups to build a strong professional network. Engaging with the community can lead to opportunities in higher-paying roles.

• Leadership Roles: Transitioning into managerial or lead roles can significantly increase your salary. This often requires developing soft skills and gaining experience in project management.

Educational Requirements

Most AI/ML/Data Science positions require at least a bachelor's degree in a related field such as computer science, engineering, mathematics, or statistics. However, many employers prefer candidates with a master's degree or Ph.D., especially for more advanced roles. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

While not always required, certain certifications can enhance your resume and demonstrate your expertise:

• Certified Data Scientist (CDS): Offered by various organizations, this certification validates your skills in data science.

• TensorFlow Developer Certificate: Demonstrates proficiency in using TensorFlow for machine learning and deep learning tasks.

• AWS Certified Machine Learning – Specialty: Validates your ability to design, implement, and maintain machine learning solutions on AWS.

• Microsoft Certified: Azure AI Engineer Associate: Shows expertise in using Azure AI services to build and integrate AI solutions.

Experience Requirements

Typically, employers look for candidates with 2-5 years of experience in data science or a related field. Experience with data analysis, machine learning models, and programming languages like Python or R is crucial. For senior roles, 5-10 years of experience, including leadership or project management, may be required.

Related salaries

Want to contribute?