Salary for Mid-level / Intermediate Software Engineer in Canada during 2024

Salary details

The average mid-level / intermediate Software Engineer salary lies between USD 92,160 and USD 163,100 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. 12, 2025

Top 20 Job Tags for Mid-level / Intermediate Software Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Software 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 | 1596 jobs Python | 1572 jobs Machine Learning | 1340 jobs Computer Science | 1230 jobs Java | 766 jobs Architecture | 752 jobs Testing | 751 jobs Security | 709 jobs AWS | 665 jobs SQL | 562 jobs Agile | 538 jobs Pipelines | 526 jobs APIs | 521 jobs Research | 500 jobs Kubernetes | 480 jobs Azure | 448 jobs JavaScript | 443 jobs Linux | 371 jobs Docker | 370 jobs LLMs | 340 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Software Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Software 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 | 1512 jobs Health care | 792 jobs Equity / stock options | 670 jobs Startup environment | 469 jobs Flex hours | 435 jobs Competitive pay | 424 jobs Medical leave | 408 jobs Salary bonus | 349 jobs Insurance | 338 jobs Flex vacation | 300 jobs Team events | 297 jobs Parental leave | 290 jobs Wellness | 241 jobs 401(k) matching | 173 jobs Relocation support | 130 jobs Unlimited paid time off | 80 jobs Transparency | 75 jobs Home office stipend | 71 jobs Gear | 66 jobs Conferences | 61 jobs

Salary Composition

In Canada, the salary composition for a mid-level AI/ML/Data Science role typically includes a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and comprehensive benefits packages that cover health, dental, and retirement plans. The exact composition can vary based on the region, with tech hubs like Toronto and Vancouver offering higher salaries, and the industry, with finance and tech sectors generally paying more. Company size also plays a role, as larger companies might offer more substantial bonuses and stock options compared to smaller firms.

Increasing Salary

To increase your salary from a mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-paying roles and leadership positions.
• Networking: Engage with professional networks and communities. Attending conferences, meetups, and workshops can lead to new opportunities and insights into industry trends.
• Leadership Roles: Aim for roles that involve team leadership or project management, as these often come with higher pay.
• Switching Companies: Sometimes, moving to a new company can result in a significant salary increase, especially if you leverage offers from other firms.

Educational Requirements

Most mid-level AI/ML/Data Science positions require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. However, many employers prefer candidates with a master's degree due to the advanced knowledge and skills it provides. A strong foundation in mathematics, particularly in linear algebra, calculus, and probability, is essential. Additionally, coursework or experience in programming languages such as Python, R, or Java is often required.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills and knowledge, making you a more attractive candidate to potential employers.

Required Experience

Typically, a mid-level position requires 3 to 5 years of experience in software engineering, with a focus on AI/ML or data science projects. Experience in developing and deploying machine learning models, data analysis, and working with large datasets is crucial. Familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn is often expected. Experience in a specific industry, such as finance, healthcare, or e-commerce, can also be beneficial.

Related salaries

Want to contribute?