Engineer Geospatial
1 104 773 ₽ (RUB)/yr
531,14 ₽ (RUB)/hr
36 237 ₽ (RUB)/yr
The average engineer geospatial gross salary in Nizhny Novgorod, Russian Federation is 1 104 773 ₽ or an equivalent hourly rate of 531 ₽. This is 6% higher (+58 371 ₽) than the average engineer geospatial salary in Russian Federation. In addition, they earn an average bonus of 36 237 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level engineer geospatial (1-3 years of experience) earns an average salary of 787 262 ₽. On the other end, a senior level engineer geospatial (8+ years of experience) earns an average salary of 1 384 809 ₽.
This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
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.
1 315 423 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Engineer Geospatial will increase 19 % over 5 years.
Education data not available for this job
The cost of living in Nizhny Novgorod, Russian Federation is 7% less than the average cost of living in Russian Federation. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageHow Much Should You Be Paid?
Learn About Our Products
This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
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.