Computer Programming Manager
2 500 788 ₽ (RUB)/yr
1 202,30 ₽ (RUB)/hr
237 075 ₽ (RUB)/yr
The average computer programming manager gross salary in Nizhny Novgorod, Russian Federation is 2 500 788 ₽ or an equivalent hourly rate of 1 202 ₽. This is 1% higher (+28 499 ₽) than the average computer programming manager salary in Russian Federation. In addition, they earn an average bonus of 237 075 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level computer programming manager (1-3 years of experience) earns an average salary of 1 748 634 ₽. On the other end, a senior level computer programming manager (8+ years of experience) earns an average salary of 3 147 542 ₽.
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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.
2 977 620 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Computer Programming Manager will increase 19 % over 5 years.
This chart displays the highest level of education for:
Computer Programming Manager, the majority at 61% 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.
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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.