Client Server Programmer
$ 30.252.583 (ARS)/yr
$ 14.544,51 (ARS)/hr
$ 1.201.028 (ARS)/yr
The average client server programmer gross salary in Buenos Aires, Argentina is $ 30.252.583 or an equivalent hourly rate of $ 14.545. This is 2% higher (+$ 591.126) than the average client server programmer salary in Argentina. In addition, they earn an average bonus of $ 1.201.028. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Buenos Aires, Argentina. An entry level client server programmer (1-3 years of experience) earns an average salary of $ 21.981.527. On the other end, a senior level client server programmer (8+ years of experience) earns an average salary of $ 35.366.845.
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$ 62.810.137 (ARS)
108 %
Based on our compensation data, the estimated salary potential for Client Server Programmer will increase 108 % over 5 years.
This chart displays the highest level of education for:
Client Server Programmer, the majority at 67% with associates.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salary- CompTIA Server+
The cost of living in Buenos Aires, Argentina is 14% more than the average cost of living in Argentina. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageBuenos Aires, officially the Autonomous City of Buenos Aires, is the capital and largest city of Argentina. It is located on the southwest of the Río de la Plata. Buenos Aires is classified as an Alpha− global city, according to the GaWC 2024 ranking. The city proper has a population of 3.1 million and its urban area has a population of 16.7 million, making it the 21st most populous metropolitan area in the world. It is known for its preserved eclectic European architecture and rich cultural lif
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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