Data Virtualization Engineer
Rp383.848.863 (IDR)/yr
Rp184.542,72 (IDR)/hr
Rp16.582.271 (IDR)/yr
The average data virtualization engineer gross salary in Banda Acèh, Indonesia is Rp383.848.863 or an equivalent hourly rate of Rp184.543. This is 16% lower (-Rp75.561.981) than the average data virtualization engineer salary in Indonesia. In addition, they earn an average bonus of Rp16.582.271. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Banda Acèh, Indonesia. An entry level data virtualization engineer (1-3 years of experience) earns an average salary of Rp273.284.679. On the other end, a senior level data virtualization engineer (8+ years of experience) earns an average salary of Rp443.869.170.
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Rp440.768.269 (IDR)
15 %
Based on our compensation data, the estimated salary potential for Data Virtualization Engineer will increase 15 % 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 Banda Acèh, Indonesia is 1% less than the average cost of living in Indonesia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageBanda Aceh ( BUN-duh-AH-cheh; Acehnese: Banda Acèh, Jawoë: بند اچيه) is the capital and largest city in the province of Aceh, Indonesia. It is located on the island of Sumatra and has an elevation of 35 metres (115 ft). The city covers an area of 61.36 square kilometers (23.69 sq mi) and had a population of 223,446 people at the 2010 Census, rising to 252,899 at the 2020 Census. The official estimate as of 2025 was 267,962 (comprising 134,451 males and 133,511 females). Banda Aceh is located on
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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