SAP Data Processing Developer
$128,345 (USD)/yr
$61.70 (USD)/hr
$4,685 (USD)/yr
The average sap data processing developer gross salary in Cranston, Rhode Island is $128,345 or an equivalent hourly rate of $62. This is 5% higher (+$5,770) than the average sap data processing developer salary in the United States. In addition, they earn an average bonus of $4,685. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Cranston, Rhode Island. An entry level sap data processing developer (1-3 years of experience) earns an average salary of $91,398. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of $145,490.
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$146,207 (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 Cranston, Rhode Island 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 PageCranston, formerly known as Pawtuxet, is a city in Providence County, Rhode Island, United States. The official population of the city in the 2020 United States Census was 82,934, making it the second-largest city in the state. The center of population of Rhode Island is located in Cranston. Cranston is a part of the Providence metropolitan area. The Town of Cranston was created in 1754 from a portion of Providence north of the Pawtuxet River. After losing much of its territory to neighboring to
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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