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Data Processing Jobs in Oklahoma (NOW HIRING)

The ideal candidate will combine technical expertise with organizational and leadership skills to drive efficiency and accuracy across Salesforce and related data processes. *This position offers a ...

The ideal candidate will combine technical expertise with organizational and leadership skills to drive efficiency and accuracy across Salesforce and related data processes. *This position offers a ...

The ideal candidate will combine technical expertise with organizational and leadership skills to drive efficiency and accuracy across Salesforce and related data processes. *This position offers a ...

The ideal candidate will combine technical expertise with organizational and leadership skills to drive efficiency and accuracy across Salesforce and related data processes. *This position offers a ...

The ideal candidate will combine technical expertise with organizational and leadership skills to drive efficiency and accuracy across Salesforce and related data processes. *This position offers a ...

The ideal candidate will combine technical expertise with organizational and leadership skills to drive efficiency and accuracy across Salesforce and related data processes. *This position offers a ...

The ideal candidate will combine technical expertise with organizational and leadership skills to drive efficiency and accuracy across Salesforce and related data processes. *This position offers a ...

The ideal candidate will combine technical expertise with organizational and leadership skills to drive efficiency and accuracy across Salesforce and related data processes. *This position offers a ...

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Data Processing information

See Oklahoma salary details

$11

$18

$32

How much do data processing jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for data processing in Oklahoma is $18.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $20.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
What are the most commonly searched types of Data Processing jobs in Oklahoma? The most popular types of Data Processing jobs in Oklahoma are:
What job categories do people searching Data Processing jobs in Oklahoma look for? The top searched job categories for Data Processing jobs in Oklahoma are:
Infographic showing various Data Processing job openings in Oklahoma as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,921 per year, or $18.7 per hour.
Data Engineer I (SAS)

$57K/yr

Full-time

Posted 19 days ago


Job description

Position Information
Position Title Data Engineer I (SAS) Position Number 100137 FTE 1.0 FLSA Non-Exempt Pay Rate $57,290 annually, plus benefits. Position Type Full-Time
Posting Detail
Posting Number 337 Essential Function
This position supports the collection, processing, validation, and maintenance of institutional data to ensure accuracy, integrity, and availability for reporting and operational needs. This position assists with troubleshooting and data quality monitoring regarding data submissions and corrections.
Responsibilities and Duties
Ensure the accurate and timely processing of institutional data using approved systems, tools, and standardized operational workflows.
Review incoming data submissions for completeness and consistency.
Resolve routine data quality and processing issues.
Support troubleshooting and issue resolution for workflow disruptions and system-related exceptions.
Collaborate with institutional partners to correct invalid, incomplete, or inconsistent data in support of reporting requirements.
Collaborate effectively within a team environment to achieve shared departmental and organizational objectives.
Deliver professional and proactive communication with institutional coordinators and internal stakeholders to support effective collaboration.
Support the integrity and accuracy of data across multiple reporting platforms, systems, and databases through Visual Analytics dashboards and queries.
Create and maintain data warehouse-related documentation to enhance operational efficiency.
Update data warehouse-related flows.
Update data warehouse-related Visual Analytics dashboards.
Ensure adherence to data governance, privacy, and information security standards across assigned responsibilities.
Perform additional duties as assigned.
Minimum Qualifications
Associate's degree in Information Technology, Computer Science, Data Analytics, Mathematics, Statistics, or related field; SAS certification; or equivalent combination of education and experience. Experience working with spreadsheets, databases, or data processing tools. Basic understanding of data validation and troubleshooting techniques. Strong organizational and communication skills. Ability to manage multiple priorities with attention to detail. Clear focus and commitment to a high level of customer service. Strong verbal and written communication skills.
Preferred Qualifications
Experience with SAS Viya 4. Experience in higher education, research, or institutional reporting environments. Familiarity with warehouse databases and reporting systems.
Supervision
The employee performs work under the supervision of the Assistant Director of Data Warehousing.
Work Hours Agency offices are open to the public from 8 A.M. to 5 P.M. Monday through Friday. These are the normal office hours for Agency employees. Physical Demands
Ability to remain in a stationary position for extended periods of time. Ability to operate a computer, keyboard, photocopier, telephone, calculator and other office equipment. Ability to use a computer screen and printed material, to communicate clearly, ability to lift up to 25 pounds, and to perform tasks that may require reaching, bending or stooping. Reasonable accommodations may be requested to enable individuals with disabilities to perform essential functions. Must use the proper manual handling equipment including but not limited to dollies, carts and lift team members. Duties are normally performed in an office environment with a moderate noise level.
Disclaimer
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. The Oklahoma State Regents for Higher Education is an Equal Opportunity Employer.
Posting Date 06/29/2026 Closing Date Open Until Filled Yes Special Instructions to Applicants