Engineer Data Virtualization
Rs 3,568,358 (PKR)/yr
Rs 1,715.56 (PKR)/hr
Rs 154,153 (PKR)/yr
The average engineer data virtualization gross salary in Islamabad, Pakistan is Rs 3,568,358 or an equivalent hourly rate of Rs 1,716. This is 20% higher (+Rs 595,792) than the average engineer data virtualization salary in Pakistan. In addition, they earn an average bonus of Rs 154,153. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Islamabad, Pakistan. An entry level engineer data virtualization (1-3 years of experience) earns an average salary of Rs 2,549,353. On the other end, a senior level engineer data virtualization (8+ years of experience) earns an average salary of Rs 4,135,805.
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Rs 5,286,560 (PKR)
48 %
Based on our compensation data, the estimated salary potential for Engineer Data Virtualization will increase 48 % over 5 years.
This chart displays the highest level of education for:
Engineer Data Virtualization, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Islamabad, Pakistan is 15% more than the average cost of living in Pakistan. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageIslamabad is the capital city of Pakistan. It is the country's tenth-most populous city with a population of over 1.1 million; and is federally administered by the Pakistani government as part of the Islamabad Capital Territory — with a metropolitan population of over 2.3 million. Built as a planned city in the 1960s and established in 1967 along the Margalla Hills, Islamabad replaced Karachi as Pakistan's national capital. It is located north of the city of Rawalpindi, the largest in northern P
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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