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Hourly Wage for Back-End Data Processing Specialist I Salary in the United States

What is the highest and lowest hourly pay for Back-End Data Processing Specialist I?

As of June 01, 2026, the average hourly rate for a Back-End Data Processing Specialist I in the United States is $21, which translates to an annual salary of about $44,300.

However, the hourly wage can vary significantly based on several factors. Here’s a detailed look at the typical pay range per hour:

  • Top Earners (90th percentile): $27 per hour
  • Majority Range (25th-75th percentile): $20 to $24 per hour
  • Entry-Level (10th percentile): $18 per hour
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View as table View as graph 25% $20 10% $18 90% $27 75% $24 $21 50%(Median) Didn’t find job title? Click

Back-End Data Processing Specialist I Salaries by Percentile

Annual
Salary
Monthly
Pay
Weekly
Pay
Hourly
Wage
75th Percentile $50,300 $4,192 $967 $24
Average $44,300 $3,692 $852 $21
25th Percentile $41,000 $3,417 $788 $20
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Key Factors That Influence Back-End Data Processing Specialist I Salaries

A Back-End Data Processing Specialist I'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 Back-End Data Processing Specialist Salaries?

Experience is a primary driver of a Back-End Data Processing Specialist I'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:

  • Back-End Data Processing Specialist I (0-1 years): $44,274
  • Back-End Data Processing Specialist II (1-3 years): $48,028
  • Back-End Data Processing Specialist III (3-5 years): $53,787
  • Back-End Data Processing Specialist IV (5-7 years): $62,021
  • Back-End Data Processing Supervisor (7+ years): $83,869
Job Role Years of Experience Average Salary
Back-End Data Processing Specialist I0-1 years$44,274
Back-End Data Processing Specialist II1-3 years$48,028
Back-End Data Processing Specialist III3-5 years$53,787
Back-End Data Processing Specialist IV5-7 years$62,021
Back-End Data Processing Supervisor7+ years$83,869
$44,274 Back-End ...
$48,028 Back-End ...
$53,787 Back-End ...
$62,021 Back-End ...
$83,869 Back-End ...
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What Am I Worth?

Top Paying Cities for Back-End Data Processing Specialist Is

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: $55,900
  • San Francisco: $55,300
  • Oakland: $54,100

What Skills Can Increase a Back-End Data Processing Specialist I'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 Back-End Data Processing Specialist I'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
$58,476
32%
Data Analytics
$51,831
17%
SOP
$51,388
16%
Project Management
$50,502
14%
Business Analysis
$50,502
14%
Process Improvement
$50,059
13%
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Back-End Data Processing Specialist I Salary: Hourly Rate, Weekly Pay, and Monthly Pay

Understanding how a Back-End Data Processing Specialist I'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 June 01, 2026

Salary Trends for Back-End Data Processing Specialist I

Salaries for a Back-End Data Processing Specialist I can change over time, reflecting shifts in market demand and the overall economy. The median salary decreased from $52,519 in 2023 to around $52,078 in 2025, reflecting changes in demand, location, experience, and the wider economy. For a detailed analysis of Back-End Data Processing Specialist I salary trends, .

Average Annual Salary of Back-End Data Processing Specialist I Over Time

2022
$???
2023
$52,519
2024
$52,654
2025
$52,078
2026
$???
2027
$???
Year Average Annual Salary
2022
View More
2023 $52,519
2024 $52,654
2025 $52,078
2026
View More
2027
View More

Most common benefits for Back-End Data Processing Specialist I

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

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

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FAQ about Back-End Data Processing Specialist I

1. What is the highest paid backend?

The highest paid position for a Back-End Data Processing Specialist has a maximum salary of $58,800. The salary range for this role starts at a minimum of $39,800, with a mid-level salary of $45,000. This reflects the competitive nature of backend development roles in the industry.

2. Is a backend job stressful?

Backend developer roles can be stressful, particularly when managing tight deadlines and complex problem-solving. The responsibilities related to data and security can add to the pressure. Salaries for Back-End Data Processing Specialists range from $39,800 to $58,800, reflecting the demand and challenges associated with the role.

3. What does a data processing specialist do?

A Back-End Data Processing Specialist is responsible for creating and preparing reports for stakeholders or management. They assist in administrative tasks such as generating data capture templates, collaborating with quality assurance teams, and researching data errors. The salary for this role ranges from $39,800 to $58,800, with a midpoint of $45,000.

4. How much do back end developers make in the US?

The salary for a Back-End Data Processing Specialist in the US ranges from a minimum of $39,800 to a maximum of $58,800, with a mid-level salary of $45,000. This reflects the typical earnings for professionals in this role, varying based on experience and specific job responsibilities.

5. How much does a database specialist earn in the US?

A Back-End Data Processing Specialist in the US earns between $39,800 and $58,800 annually, with a median salary of $45,000. This translates to an hourly wage ranging from approximately $19.14 to $28.23, depending on experience and location.

6. What is the highest data analyst salary in us?

The salary range for a Back-End Data Processing Specialist is between $39,800 and $58,800, with a mid-salary of $45,000. While data analyst salaries can vary significantly, the highest reported salaries in major cities can reach up to $118,235 in San Jose, CA. However, for this specific role, the maximum salary is considerably lower.

Where Does Our Salary Data Come From?

Salary.com salary estimates, histograms, trends, and comparisons are derived from both employer job postings and third-party data sources. We also provide multiple percentiles of salary information for your reference, click here to know Why the Salary Midpoint Formula Is Crucial to Getting Pay Equity Right. With more online, real-time compensation data than any other website, Salary.com helps you determine your exact pay target.

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