Engineer Salary in Canada during 2024

Salary details

The average Engineer salary lies between USD 89,423 and USD 150,000 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: Nov. 10, 2024

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 | 40956 jobs Python | 39919 jobs Machine Learning | 28827 jobs Computer Science | 25710 jobs SQL | 22550 jobs Pipelines | 21337 jobs Architecture | 20853 jobs AWS | 20399 jobs Security | 16426 jobs Testing | 15567 jobs Java | 14004 jobs Agile | 13956 jobs Azure | 13845 jobs Research | 12909 jobs Spark | 12784 jobs Data pipelines | 12592 jobs ETL | 12180 jobs Big Data | 11217 jobs GCP | 11056 jobs APIs | 10147 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 | 36842 jobs Health care | 20242 jobs Equity / stock options | 15266 jobs Flex hours | 13466 jobs Startup environment | 11692 jobs Competitive pay | 11639 jobs Team events | 9692 jobs Flex vacation | 9363 jobs Salary bonus | 9126 jobs Insurance | 8851 jobs Medical leave | 8562 jobs Parental leave | 8106 jobs Wellness | 5384 jobs 401(k) matching | 5100 jobs Conferences | 2638 jobs Relocation support | 2567 jobs Home office stipend | 2295 jobs Transparency | 1909 jobs Flexible spending account | 1855 jobs Fitness / gym | 1777 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.

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