Compressor Station Engineer
1 172 925 ₽ (RUB)/yr
563,91 ₽ (RUB)/hr
26 391 ₽ (RUB)/yr
The average compressor station engineer gross salary in Nizhny Novgorod, Russian Federation is 1 172 925 ₽ or an equivalent hourly rate of 564 ₽. This is 5% higher (+55 192 ₽) than the average compressor station engineer salary in Russian Federation. In addition, they earn an average bonus of 26 391 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level compressor station engineer (1-3 years of experience) earns an average salary of 856 331 ₽. On the other end, a senior level compressor station engineer (8+ years of experience) earns an average salary of 1 458 176 ₽.
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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.
1 396 570 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Compressor Station Engineer will increase 19 % over 5 years.
This chart displays the highest level of education for:
Compressor Station Engineer, the majority at 75% with high schools.
Typical Field of Study: Industrial Mechanics and Maintenance Technology 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.