Data Analytics Engineer

$125,344 (CAD)/yr

$60.26 (CAD)/hr

$3,585 (CAD)/yr

The average data analytics engineer gross salary in Vaughan, Ontario is $125,344 or an equivalent hourly rate of $60. This is 12% higher (+$13,687) than the average data analytics engineer salary in Canada. In addition, they earn an average bonus of $3,585. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Vaughan, Ontario. An entry level data analytics engineer (1-3 years of experience) earns an average salary of $88,878. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of $141,652.

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Salary Potential

$141,811 (CAD)

13 %

Based on our compensation data, the estimated salary potential for Data Analytics Engineer will increase 13 % over 5 years.

Education

This chart displays the highest level of education for:
Data Analytics Engineer, the majority at 100% with bachelors.

Typical Field of Study: Data Modeling/Warehousing and Database Administration

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City Overview

Vaughan, Ontario

The cost of living in Vaughan, Ontario is 30% more than the average cost of living in Canada. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

View Cost of Living Page

Vaughan ( vawn) (2021 population 323,103) is a city in Ontario, Canada. It is located in the Regional Municipality of York, just north of Toronto. Vaughan was the fastest-growing municipality in Canada between 1996 and 2006 with its population increasing by 80.2% during this time period and having nearly doubled in population since 1991. In 2021, the population of Vaughan was 323,103. It is the fifth-largest city in the Greater Toronto Area, and the 17th-largest city in Canada.

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This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Develops the data extraction and preparation processes. Runs data quality audits and identifies issues with data collection. Implements improvements and fixes to data collection processes. Oversees SQL databases that can be large and complex.
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