Data Application Specialist salary in United States Of America

Average Yearly Salary of Data Application Specialist in United States Of America is approximately 78,078 USD (77,841 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Data Application Specialist do?

A data application specialist is responsible for managing and optimizing the use of data within an organization. They work closely with various teams to identify data needs, develop data solutions, and ensure data integrity and security. Their main role involves designing and implementing databases, creating data models, and developing data-driven applications. They also provide technical support and troubleshooting for data-related issues, as well as train end-users on data applications and tools. Additionally, they collaborate with data analysts and scientists to extract insights from data and improve business processes.

Skills: Data management, Database design, Data modeling, Application development, Data analysis, Technical support
Job industry: Data analysis

How much does Data Application Specialist make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Data Application Specialist a well paid job?

Yes, our data shows that Data Application Specialist is a well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Data Application Specialist?

High salary for Data Application Specialist would be somewhere between 85,886 USD and 113,213 USD. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Application Specialist in United States Of America?

Living in United States Of America the approximate monthly expenses are: 2,280 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 78,078 USD
Estimated Monthly Salary: 6,507 USD
Estimated Weekly Salary: 1,502 USD per week
Estimated Hourly Salary: 38 USD per hour
By working as Data Application Specialist a person can save up to 4,207 USD per month or 50,481 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in United States Of America, see costs of living in United States Of America.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Canada, Mexico.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Data Application Specialist

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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