Data Processing Specialist Salary in the United States

How much does a Data Processing Specialist make in the United States?

As of January 01, 2026, the average salary for a Data Processing Specialist in the United States is $45,941 per year, which breaks down to an hourly rate of $22.

However, a Data Processing Specialist's salary can vary significantly. Here’s a look at the typical salary range:

  • Top Earners (90th percentile): $58,294
  • Majority Range (25th-75th percentile): $42,131 to $52,407
  • Entry-Level (10th percentile): $38,662
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View as table View as graph 25% $42,131 10% $38,662 90% $58,294 75% $52,407 $45,941 50%(Median) Didn’t find job title? Click

Data Processing Specialist Salaries by Percentile

Annual
Salary
Monthly
Pay
Weekly
Pay
Hourly
Wage
75th Percentile $52,407 $4,367 $1,008 $25
Average $45,941 $3,828 $883 $22
25th Percentile $42,131 $3,511 $810 $20
Check out Data Processing Specialist Job Openings in the United States
Gift&Records Processing Specialist

University of Massachusetts Amherst Foundation - HADLEY, MA

Data Manager Data Transfer Specialist

Navstar Inc. - ANNAPOLIS, MD

Data Management Specialist

Cyber Bat Inc - FORT MEADE, MD

Data Scientist and Knowledge Management Specialist

Arlo Solutions - ARLINGTON, VA

Search More Data Processing Specialist Jobs in the United States

Key Factors That Influence Data Processing Specialist Salaries

A Data Processing Specialist's salary isn't a fixed number. It's shaped by several important factors. Below, we'll explore how your years of experience, geographic location and company size can directly affect your earning potential.

How Experience Level Affects Data Processing Specialist Salaries?

Experience is a primary driver of a Data Processing Specialist's salary. As you build your skills and take on more complex tasks, your compensation generally increases. Here's how the average salary grows at different career stages:

  • Entry-Level (less than 1 year): $44,343
  • Early Career (1-2 years): $45,223
  • Mid-Level (2-4 years): $46,121
  • Senior-Level (5-8 years): $46,390
  • Expert (over 8 years): $46,570
Levels Salary
Entry Level Data Processing Specialist$44,343
Intermediate Level Data Processing Specialist$45,223
Senior Level Data Processing Specialist$46,121
Specialist Level Data Processing Specialist$46,390
Expert Level Data Processing Specialist$46,570
$44,343 0 yr
$45,223 < 2 yrs
$46,121 2-4 yrs
$46,390 5-8 yrs
$46,570 > 8 yrs
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What Am I Worth?

Top Paying Cities for Data Processing Specialists

Salaries can also vary between different cities. Major metropolitan areas or cities with a high demand for technicians often offer more competitive pay. Here are a few examples of average annual salaries in different U.S. cities:

  • San Jose: $57,945
  • San Francisco: $57,376
  • Oakland: $56,103

What Skills Can Increase a Data Processing Specialist's Salary?

Demanded Skills for the Role:

  • Process Improvement (Mentioned in 6.05% Job Postings): Analyzing and improving existing processes and workflows to minimize process errors and streamline organizational efficiency.
  • Data Analytics (Mentioned in 1.71% Job Postings): Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
  • Collective Bargaining (Mentioned in 1.2% Job Postings): Collective bargaining is a process of negotiation between employers and a group of employees aimed at agreements to regulate working salaries, working conditions, benefits, and other aspects of workers' compensation and rights for workers. The interests of the employees are commonly presented by representatives of a trade union to which the employees belong. The collective agreements reached by these negotiations usually set out wage scales, working hours, training, health and safety, overtime, grievance mechanisms, and rights to participate in workplace or company affairs. The union may negotiate with a single employer (who is typically representing a company's shareholders) or may negotiate with a group of businesses, depending on the country, to reach an industry-wide agreement. A collective agreement functions as a labour contract between an employer and one or more unions. Collective bargaining consists of the process of negotiation between representatives of a union and employers (generally represented by management, or, in some countries such as Austria, Sweden and the Netherlands, by an employers' organization) in respect of the terms and conditions of employment of employees, such as wages, hours of work, working conditions, grievance procedures, and about the rights and responsibilities of trade unions. The parties often refer to the result of the negotiation as a collective bargaining agreement (CBA) or as a collective employment agreement (CEA).
See More Skills
Skills Demand Percentage
Process Improvement 6.05%
Data Analytics 1.71%
Collective Bargaining 1.2%
What skills can make your compensation higher?
Mastering certain specialized skills can lead to a significant increase in pay. Here are examples of skills and the potential impact they can have on a Data Processing Specialist's salary.
  • Change Management: Can increase your salary by up to 32%.
  • Data Analytics: Can increase your salary by up to 17%.
  • SOP: Can increase your salary by up to 16%.
Skill Salary Salary % Increase
Change Management
$60,642
32%
Data Analytics
$53,751
17%
SOP
$53,292
16%
Project Management
$52,373
14%
Business Analysis
$52,373
14%
Process Improvement
$51,913
13%
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Data Processing Specialist Salary: Hourly Rate, Weekly Pay, and Monthly Pay

Understanding how a Data Processing Specialist's annual salary breaks down can help with budgeting. Below, you can see the average hourly rate, weekly pay, and monthly pay for this role. Use the buttons to switch between different pay periods.

Last Updated on January 01, 2026

Salary Trends for Data Processing Specialist

Salaries for a Data Processing Specialist can change over time, reflecting shifts in market demand and the overall economy. The median salary decreased from $52,913 in 2023 to around $52,469 in 2025, reflecting changes in demand, location, experience, and the wider economy. For a detailed analysis of Data Processing Specialist salary trends, .

Average Annual Salary of Data Processing Specialist Over Time

2022
$???
2023
$52,913
2024
$53,049
2025
$52,469
2026
$???
2027
$???
Year Average Annual Salary
2022
View More
2023 $52,913
2024 $53,049
2025 $52,469
2026
View More
2027
View More

Most common benefits for Data Processing Specialist

Social Security
401(k)
Disability
Healthcare
Pension
Time Off (days)
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Common company salaries for Data Processing Specialist

Here are companies hiring for Data Processing Specialist and their salaries, click below for more details.

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Where Does Our Salary Data Come From?

Salary.com provides salary estimates, histograms, trends, and comparisons using data from employer job postings and third-party sources.

We offer detailed salary information across multiple percentiles for your reference. (Click here to learn Why the Salary Midpoint Formula Is Crucial for Achieving Pay Equity.)

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