Engineer Electromedical Service
928 552 ₽ (RUB)/yr
446,42 ₽ (RUB)/hr
16 621 ₽ (RUB)/yr
The average engineer electromedical service gross salary in Nizhny Novgorod, Russian Federation is 928 552 ₽ or an equivalent hourly rate of 446 ₽. This is 2% higher (+17 653 ₽) than the average engineer electromedical service salary in Russian Federation. In addition, they earn an average bonus of 16 621 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level engineer electromedical service (1-3 years of experience) earns an average salary of 685 557 ₽. On the other end, a senior level engineer electromedical service (8+ years of experience) earns an average salary of 1 149 597 ₽.
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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.
1 105 601 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Engineer Electromedical Service will increase 19 % over 5 years.
This chart displays the highest level of education for:
Engineer Electromedical Service, the majority at 100% with associates.
Typical Field of Study: Biomedical Technician Training
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.
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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.