SAP Data Processing Developer
$130,897 (USD)/yr
$62.93 (USD)/hr
$4,778 (USD)/yr
The average sap data processing developer gross salary in Mount Laurel, New Jersey is $130,897 or an equivalent hourly rate of $63. This is 7% higher (+$8,331) than the average sap data processing developer salary in the United States. In addition, they earn an average bonus of $4,778. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Mount Laurel, New Jersey. An entry level sap data processing developer (1-3 years of experience) earns an average salary of $93,215. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of $148,382.
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$149,114 (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 Mount Laurel, New Jersey is 10% 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 PageMount Laurel is a township in Burlington County in the U.S. state of New Jersey. The township, and all of Burlington County, is a part of the Philadelphia-Reading-Camden combined statistical area and the Delaware Valley. As of the 2020 United States census, the township's population was 44,633, its highest decennial count ever and an increase of 2,769 (+6.6%) from the 2010 census count of 41,864, which in turn reflected an increase of 1,643 (+4.1%) from the 40,221 counted in the 2000 census. It
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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