Data Virtualization Engineer
¥386,474 (CNY)/yr
¥185.80 (CNY)/hr
¥16,696 (CNY)/yr
The average data virtualization engineer gross salary in Shanghai, China is ¥386,474 or an equivalent hourly rate of ¥186. This is 16% higher (+¥52,353) than the average data virtualization engineer salary in China. In addition, they earn an average bonus of ¥16,696. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Shanghai, China. An entry level data virtualization engineer (1-3 years of experience) earns an average salary of ¥274,607. On the other end, a senior level data virtualization engineer (8+ years of experience) earns an average salary of ¥446,317.
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¥458,001 (CNY)
19 %
Based on our compensation data, the estimated salary potential for Data Virtualization Engineer will increase 19 % over 5 years.
This chart displays the highest level of education for:
Data Virtualization Engineer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
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The cost of living in Shanghai, China is 16% more than the average cost of living in China. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageShanghai is a direct-administered municipality and the most populous urban area in China. It has a population of 29,558,908 in the urban area as of 2025. The city is located on the Chinese shoreline on the southern estuary of the Yangtze River, with the Huangpu River bisecting the city. Shanghai is a global center for finance, business and economics, research, science and technology, manufacturing, transportation, tourism, and culture. The Port of Shanghai is the world's busiest container port.
Sourced from WikipediaERI'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.
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