SAP Data Processing Developer
$144,962 (USD)/yr
$69.69 (USD)/hr
$5,291 (USD)/yr
The average sap data processing developer gross salary in Cliffside Park, New Jersey is $144,962 or an equivalent hourly rate of $70. This is 18% higher (+$22,387) than the average sap data processing developer salary in the United States. In addition, they earn an average bonus of $5,291. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Cliffside Park, New Jersey. An entry level sap data processing developer (1-3 years of experience) earns an average salary of $103,231. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of $164,325.
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$165,136 (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 Cliffside Park, New Jersey is 39% 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 PageCliffside Park 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 25,693, an increase of 2,099 (+8.9%) from the 2010 census count of 23,594, which in turn reflected an increase of 587 (+2.6%) from the 23,007 counted in the 2000 census. Cliffside Park was formed based on the results of a referendum held on January 15, 1895, from portions of Ridgefield Township. The borough was formed during the "Boroughitis" phenomenon
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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