SAP Data Processing Developer
$144,880 (USD)/yr
$69.65 (USD)/hr
$5,288 (USD)/yr
The average sap data processing developer gross salary in Upper Saddle River, New Jersey is $144,880 or an equivalent hourly rate of $70. This is 18% higher (+$22,305) than the average sap data processing developer salary in the United States. In addition, they earn an average bonus of $5,288. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Upper Saddle River, New Jersey. An entry level sap data processing developer (1-3 years of experience) earns an average salary of $103,173. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of $164,233.
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$165,043 (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 Upper Saddle River, New Jersey is 31% 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 PageUpper Saddle River is a borough in Bergen County, in the U.S. state of New Jersey. As of the 2020 United States census, the borough's population was 8,353, an increase of 145 (+1.8%) from the 2010 census count of 8,208, which in turn reflected an increase of 467 (+6.0%) from the 7,741 counted in the 2000 census. Upper Saddle River had a per capita income of $73,639 and was ranked 20th in New Jersey based on data from the 2006–2010 American Community Survey (ACS) from the United States Census Bur
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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