SAP Data Processing Developer
$113,386 (USD)/yr
$54.51 (USD)/hr
$4,139 (USD)/yr
The average sap data processing developer gross salary in Cedar Rapids, Iowa is $113,386 or an equivalent hourly rate of $55. This is 8% lower (-$9,206) than the average sap data processing developer salary in the United States. In addition, they earn an average bonus of $4,139. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Cedar Rapids, Iowa. An entry level sap data processing developer (1-3 years of experience) earns an average salary of $80,745. On the other end, a senior level sap data processing developer (8+ years of experience) earns an average salary of $128,532.
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$129,166 (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 Cedar Rapids, Iowa is 12% less 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 PageCedar Rapids is a city in Linn County, Iowa, United States, and the county seat. The population was 137,710 at the 2020 census, and was estimated at 137,904 in 2024. making it the second-most populous city in Iowa. The city lies on both banks of the Cedar River, 20 miles (32 km) north of Iowa City and 128 miles (206 km) northeast of Des Moines, the state's capital. Cedar Rapids is the economic hub of Eastern Iowa, located at the core of the Interstate 380 corridor. The population of the three-co
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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