Applications Engineer
2 021 060 ₽ (RUB)/yr
971,66 ₽ (RUB)/hr
90 139 ₽ (RUB)/yr
The average applications engineer gross salary in Nizhny Novgorod, Russian Federation is 2 021 060 ₽ or an equivalent hourly rate of 972 ₽. This is 6% higher (+106 781 ₽) than the average applications engineer salary in Russian Federation. In addition, they earn an average bonus of 90 139 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level applications engineer (1-3 years of experience) earns an average salary of 1 429 818 ₽. On the other end, a senior level applications engineer (8+ years of experience) earns an average salary of 2 537 512 ₽.
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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.
2 406 421 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Applications Engineer will increase 19 % over 5 years.
This chart displays the highest level of education for:
Applications Engineer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe 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?
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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.