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

Salary details

The average mid-level / intermediate Software Developer salary lies between USD 81,000 and USD 121,000 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. 17, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Software Developer job listings are Python, Engineering 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:

Python | 147 jobs Engineering | 110 jobs Machine Learning | 107 jobs Computer Science | 98 jobs Architecture | 85 jobs Java | 80 jobs SQL | 79 jobs Agile | 71 jobs Security | 67 jobs JavaScript | 57 jobs Testing | 57 jobs APIs | 57 jobs Docker | 55 jobs AWS | 51 jobs Git | 51 jobs Linux | 49 jobs Research | 49 jobs Kubernetes | 45 jobs React | 45 jobs Azure | 43 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Software Developer job listings are Career development, Health care and Flex hours. 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 | 128 jobs Health care | 58 jobs Flex hours | 56 jobs Insurance | 46 jobs Equity / stock options | 35 jobs Competitive pay | 34 jobs Startup environment | 26 jobs Medical leave | 24 jobs Flex vacation | 22 jobs Team events | 21 jobs Salary bonus | 19 jobs Parental leave | 18 jobs 401(k) matching | 16 jobs Flexible spending account | 10 jobs Wellness | 9 jobs Relocation support | 6 jobs Unlimited paid time off | 5 jobs Gear | 4 jobs Home office stipend | 2 jobs Lunch / meals | 1 jobs

Salary Composition

In Canada, the salary composition for a mid-level AI/ML/Data Science role typically includes a fixed base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the most significant component, often constituting 70-85% of the total compensation package. Bonuses can vary widely, ranging from 5-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, like stock options, is more common in tech startups or large tech companies and can significantly enhance total compensation, especially if the company performs well. The composition can vary by region, with tech hubs like Toronto and Vancouver offering higher salaries and more comprehensive packages compared to smaller cities. Industry also plays a role; for instance, finance and tech sectors tend to offer more competitive packages than academia or non-profits.

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 high-demand 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 relevant 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 offer leadership responsibilities, such as team lead or project manager, which often come with higher pay.
• Company Change: Sometimes, moving to a different company, especially one in a high-demand industry or region, can result in a significant salary increase.

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 or higher, especially for roles involving complex problem-solving and advanced algorithm development. A strong foundation in mathematics and statistics is crucial, as is proficiency in programming languages like Python or R.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

• 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 3-5 years of relevant experience in software development, data analysis, or a related field. Experience with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), data visualization tools, and cloud platforms is often expected. Demonstrated experience in handling real-world data projects, from data collection and cleaning to model deployment, is highly valued.

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