SAP Data Processing Developer
$135,045 (USD)/yr
$64.93 (USD)/hr
$4,929 (USD)/yr
The average sap data processing developer gross salary in Hamilton Square, New Jersey is $135,045 or an equivalent hourly rate of $65. This is 10% higher (+$12,470) than the average sap data processing developer salary in the United States. In addition, they earn an average bonus of $4,929. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Hamilton Square, New Jersey. An entry level sap data processing developer (1-3 years of experience) earns an average salary of $96,169. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of $153,084.
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$153,840 (USD)
14 %
Based on our compensation data, the estimated salary potential for SAP Data Processing Developer will increase 14 % over 5 years.
This chart displays the highest level of education for:
SAP Data Processing Developer, 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 Hamilton Square, New Jersey is 17% more than the average cost of living in the United States. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageHamilton Square is an unincorporated community and census-designated place (CDP) located within Hamilton Township, in Mercer County, in the U.S. state of New Jersey, that is the site of a historic colonial village. Until the 2000 census the area was part of the Mercerville-Hamilton Square CDP, which was split into two CDPs as of 2010: Mercerville and Hamilton Square. Hamilton Square was established in 1692 and was named after Alexander Hamilton in a wave of anti-British feeling at the time of th
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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