SAP Data Processing Developer
$135,036 (USD)/yr
$64.92 (USD)/hr
$4,929 (USD)/yr
The average sap data processing developer gross salary in Pennington, New Jersey is $135,036 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 Pennington, New Jersey. An entry level sap data processing developer (1-3 years of experience) earns an average salary of $96,162. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of $153,073.
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$153,829 (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 Pennington, New Jersey is 6% 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 PagePennington is a borough in Mercer County, in the U.S. state of New Jersey. The borough is located at the cross-roads between the Delaware Valley region to the southwest and the Raritan Valley region to the northeast. As of the 2020 United States census, the borough's population was 2,802, its highest decennial count ever and an increase of 217 (+8.4%) from the 2010 census count of 2,585, which in turn had reflected a decline of 111 (−4.1%) from the 2,696 counted in the 2000 census.
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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