Data Analytics Engineer
$122,232 (CAD)/yr
$58.77 (CAD)/hr
$3,496 (CAD)/yr
The average data analytics engineer gross salary in Sundre, Alberta is $122,232 or an equivalent hourly rate of $59. This is 10% higher (+$10,689) than the average data analytics engineer salary in Canada. In addition, they earn an average bonus of $3,496. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Sundre, Alberta. An entry level data analytics engineer (1-3 years of experience) earns an average salary of $86,671. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of $138,136.
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$138,290 (CAD)
13 %
Based on our compensation data, the estimated salary potential for Data Analytics Engineer will increase 13 % over 5 years.
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
See how education can impact your salary- SQL Certification
- Pega Certified Data Scientist (PCDS)
The cost of living in Sundre, Alberta is 1% 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 PageSundre is a town in central Alberta, Canada that is surrounded by Mountain View County. It is approximately 100 km (62 mi) northwest of Calgary on the Cowboy Trail in the foothills of the Canadian Rockies. Sundre takes its name from a town in Norway, the original home of Nels T. Hagen, the town's first postmaster. Although considered a forestry town, the community is also home to a significant number of oil and gas service businesses. Due to its attractive geographic location, with proximity to
Sourced from WikipediaERI'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.
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