Software Engineer Programmer
RM160,287 (MYR)/yr
RM77.06 (MYR)/hr
RM7,149 (MYR)/yr
The average software engineer programmer gross salary in Kota Kinabalu, Malaysia is RM160,287 or an equivalent hourly rate of RM77. This is 2% higher (+RM3,515) than the average software engineer programmer salary in Malaysia. In addition, they earn an average bonus of RM7,149. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Kota Kinabalu, Malaysia. An entry level software engineer programmer (1-3 years of experience) earns an average salary of RM112,933. On the other end, a senior level software engineer programmer (8+ years of experience) earns an average salary of RM184,494.
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RM179,630 (MYR)
12 %
Based on our compensation data, the estimated salary potential for Software Engineer Programmer will increase 12 % over 5 years.
This chart displays the highest level of education for:
Software Engineer Programmer, the majority at 62% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Kota Kinabalu, Malaysia is 1% less than the average cost of living in Malaysia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageKota Kinabalu (Malaysian: [ˈkota kinaˈbalu]; formerly known as Jesselton), colloquially referred to as KK, is the state capital of Sabah, Malaysia. It is also the capital of the Kota Kinabalu District as well as the West Coast Division of Sabah. The city is located on the northwest coast of Borneo facing the South China Sea. The Tunku Abdul Rahman National Park lies to its west and Mount Kinabalu, which gave the city its name, is located to its east. Kota Kinabalu has a population of 452,058 acc
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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