SAP Data Processing Developer
$129,924 (USD)/yr
$62.46 (USD)/hr
$4,742 (USD)/yr
The average sap data processing developer gross salary in Norridge, Illinois is $129,924 or an equivalent hourly rate of $62. This is 6% higher (+$7,341) than the average sap data processing developer salary in the United States. In addition, they earn an average bonus of $4,742. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Norridge, Illinois. An entry level sap data processing developer (1-3 years of experience) earns an average salary of $92,522. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of $147,279.
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$148,006 (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 Norridge, Illinois is 16% 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 PageNorridge is a village in Norwood Park Township, Cook County, Illinois, United States. The village and its neighbor to the east, Harwood Heights, together form an enclave within the city of Chicago. Norridge is sometimes referred to as the "Island Within a City". As of the 2020 census, Norridge had a population of 15,251. The area that would eventually become Norridge was settled by farmers in 1830. The first names of what would become Norridge were "Goat Village", due to a local resident's goat
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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