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Data Engineer Salary and Equity in Toronto 2024
How much does a Data Engineer expect to make at Toronto-based startups? The average expected salary for Data Engineers in Toronto-based startups is 97k per year, with a range from 11k to 165k. These amounts were gathered from Wellfound self-reported data and represent the median salary range. The salary range for Data Engineers in Toronto startups varies depending on factors such as industry, experience, skills, and startup stage.
97.0k
Average Salary
3 years
Average years of experience
Salary
The average salary for a Data Engineer in Toronto is $97,000, which is 2.6% higher than the average Toronto startup salary of$94,500. Data Engineer salaries in Toronto are based on exclusive Wellfound data. All data is updated on a weekly basis. Factors that may influence salary include: years of experience, title, size of company, skill-set, and industry.
Top of market
$158,750/yr
Range $155k - $165k
Average
$97,000/yr
Range $11k - $142k
Below Average
$64,000/yr
Range $11k - $102k
Industries
The highest average salary a Data Engineer in Toronto can get in Fin Tech, that is $130,000. This pay is 112.5% higher than the average Data Engineer salary in Toronto, which is $61,167. The highest-paying industries in 2023 are: Fin Tech (avg $130,000 per year), Legal (avg $102,000 per year), Legal Tech (avg $102,000 per year).
Tech Stack
The highest average salary a Data Engineer in Toronto can get with Machine Learning, that is $11,000. This pay is 88.4% lower than the average salary in Toronto startups, which is $94,500. Salary range for specific skills will vary based on the supply and demand in the current market.
Top Tech Stacks
The top-paying Data Engineer skills in Toronto of 2024 are:
1. Machine Learning
$11k
Years of experience
Below Average
Average
Top of Market
The highest average salary a Data Engineer in Toronto can get with 10+ years of experience, that is $130,000. This pay is 37.6% higher than the average salary in Toronto startups, which is $94,500. The salary range varies with years of experience and depends on other factors such as skill set, size of company, and industry.
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