SAP Data Processing Developer
$117,538 (USD)/yr
$56.51 (USD)/hr
$4,290 (USD)/yr
The average sap data processing developer gross salary in Madison, Wisconsin is $117,538 or an equivalent hourly rate of $57. This is 4% lower (-$5,037) than the average sap data processing developer salary in the United States. In addition, they earn an average bonus of $4,290. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Madison, Wisconsin. An entry level sap data processing developer (1-3 years of experience) earns an average salary of $83,702. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of $133,238.
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$133,896 (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 Madison, Wisconsin 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 PageMadison is the capital of the U.S. state of Wisconsin. It is the second-most populous city in the state, with a population of 269,840 at the 2020 census. The Madison metropolitan area has an estimated 708,000 residents. With a downtown centrally located on an isthmus between Lakes Mendota and Monona, the city also encompasses Lake Wingra. Madison was founded in 1836 and is named after American Founding Father and President James Madison. It is the county seat of Dane County. As the state capital
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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