Data Developer Salary in Canada during 2024

Salary details

The average Data Developer salary lies between USD 76,923 and USD 108,000 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: Dec. 22, 2024

Top 20 Job Tags for Data Developer roles

The three most common job tag items assiciated with Data Developer job listings are SQL, Python and ETL. 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:

SQL | 302 jobs Python | 246 jobs ETL | 202 jobs Engineering | 192 jobs Pipelines | 192 jobs Spark | 177 jobs Big Data | 156 jobs Azure | 149 jobs AWS | 147 jobs Architecture | 128 jobs Data pipelines | 112 jobs Data quality | 103 jobs Agile | 102 jobs Databricks | 102 jobs Computer Science | 96 jobs Testing | 92 jobs Java | 88 jobs Research | 87 jobs CI/CD | 87 jobs Security | 84 jobs

Top 20 Job Perks/Benefits for Data Developer roles

The three most common job benefits and perks assiciated with Data Developer job listings are Career development, Health care and Fitness / gym. 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 | 218 jobs Health care | 139 jobs Fitness / gym | 119 jobs Flex hours | 81 jobs Competitive pay | 53 jobs Parental leave | 43 jobs Team events | 38 jobs Equity / stock options | 35 jobs Startup environment | 34 jobs Flex vacation | 26 jobs Insurance | 25 jobs Wellness | 21 jobs Transparency | 17 jobs Medical leave | 17 jobs Salary bonus | 16 jobs Relocation support | 7 jobs Home office stipend | 7 jobs Travel | 4 jobs Gear | 4 jobs Unlimited paid time off | 4 jobs

Salary Composition for Data Developer Roles in AI/ML/Data Science

In Canada, the salary composition for a Data Developer in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can make up the remaining 5% to 10%.

The composition can vary based on the region, with tech hubs like Toronto and Vancouver offering higher base salaries and bonuses compared to smaller cities. Industry also plays a role; for instance, tech companies or financial institutions might offer more competitive packages than smaller startups or non-tech industries. Larger companies often provide more structured bonus schemes and additional benefits compared to smaller firms.

Steps to Increase Salary from a Data Developer Position

To increase your salary from a Data Developer position, consider the following strategies:

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

• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities and leadership roles.

• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

• Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.

• Performance and Negotiation: Consistently perform well in your current role and be prepared to negotiate your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements for Data Developer Roles

Most Data Developer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, engineering, mathematics, or a related field. A strong foundation in programming, statistics, and data analysis is essential. Some positions, especially those in research or advanced development, may require a master's degree or Ph.D. in a relevant discipline.

Helpful Certifications for Data Developers

Several certifications can enhance your credentials as a Data Developer:

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

These certifications validate your skills and knowledge in specific tools and platforms, making you more attractive to potential employers.

Experience Requirements for Data Developer Roles

Typically, employers look for candidates with 2 to 5 years of experience in data development, data analysis, or software engineering. Experience with programming languages such as Python, R, or Java, and familiarity with data manipulation tools like SQL, Hadoop, or Spark, is often required. Experience in deploying machine learning models and working with cloud platforms can also be advantageous.

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