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Data Processing Jobs in Oklahoma (NOW HIRING)

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Monitor pipeline, integration, and warehouse performance; proactively troubleshoot failures, optimize system reliability, and resolve data processing issues. * Establish and maintain logging ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Support and evolve event instrumentation, user data processing, and analytical datasets that power insights and experimentation. * Mentor & Develop: Guide data engineers at all levels, fostering a ...

Support and evolve event instrumentation, user data processing, and analytical datasets that power insights and experimentation. * Mentor & Develop: Guide data engineers at all levels, fostering a ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Corrects reported incidents on data and reporting applications and releases fixes through the change control processes. * Performs solution assessment as needed. * Conducts proof of concept to guide ...

Execute data preparation, cleansing, and validation processes to ensure data integrity across reports and systems. * Troubleshoot reporting and data issues, identifying root causes and resolving ...

Data Engineer

Edmond, OK

$125K - $150K/yr

S. and Mexico, the organization is continuing to invest in technology platforms and data capabilities to support growth, improve processes, and enable better business decisions. We are seeking a Data ...

Data Engineer

Edmond, OK · On-site

$125K - $150K/yr

S. and Mexico, the organization is continuing to invest in technology platforms and data capabilities to support growth, improve processes, and enable better business decisions. We are seeking a Data ...

Data Engineer

Edmond, OK · On-site

$125K - $150K/yr

S. and Mexico, the organization is continuing to invest in technology platforms and data capabilities to support growth, improve processes, and enable better business decisions. We are seeking a Data ...

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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.

$104K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Description:

ABOUT THE ORGANIZATION

Tulsa For You and Me is a portfolio of talent and economic development programs working to strengthen Tulsa’s long-term economic vitality, expand access to opportunity, and build a more vibrant and inclusive city. Operated under the stewardship of the George Kaiser Family Foundation® (GKFF®), affiliated programs include nationally recognized organizations such as Tulsa Remote, LLC, Tulsa Innovation Labs, LLC, Build In Tulsa, LLC, Experience Tulsa, Atlas School, LLC, Campus Tulsa program, Tulsa Service Year program, and others.

Integrated Strategies is Tulsa For You’s centralized data, systems, and analytics team, helping programs operate more effectively, make better decisions, and scale with stronger internal infrastructure. The team’s work spans Data & Systems, CRM Platform Solutions, and Analytics—building the data environments, technical solutions, and analytical insight needed to support cross-program execution.


ABOUT THE ROLE

In this position, you will serve as a key technical contributor within Tulsa For You’s Data & Systems environment, helping build and maintain the backend infrastructure that powers reporting, analytics, cross-system integrations, and reliable organizational data operations.

This role requires strong hands-on experience in Python-based data engineering, cloud data environments, relational databases, and backend systems integration. You will support the full lifecycle of organizational data movement—from ingestion and transformation through warehouse optimization, monitoring, troubleshooting, and long-term systems improvement—ensuring analysts and program teams have reliable, well-structured, and trustworthy data to support decision-making.

Success in this role requires high initiative, strong resourcefulness, and comfort operating in an environment where not every solution is predefined. The ideal candidate is someone who enjoys digging into unfamiliar technical problems, researching viable paths forward, and collaborating with others to build practical solutions in a dynamic setting.


ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

Data Engineering & Systems Management

  • Build, maintain, and continuously improve scalable data pipelines, integrations, and warehouse workloads that support reliable and efficient data operations across the organization.
  • Design and implement backend integrations for new and existing data sources—including APIs, databases, file-based feeds, cloud platforms, and third-party systems—to ensure accurate and dependable data movement.
  • Develop, test, deploy, and support reusable data workflows, transformation jobs, warehouse objects, scripts, and related engineering components.
  • Monitor pipeline, integration, and warehouse performance; proactively troubleshoot failures, optimize system reliability, and resolve data processing issues.
  • Establish and maintain logging, alerting, automated monitoring, and data quality controls that strengthen visibility, issue detection, and long-term operational stability.
  • Support secure data handling, system access controls, and governance practices to ensure organizational data is managed responsibly and in accordance with internal standards.

Systems Improvement & Technical Collaboration

  • Strengthen backend data architecture, engineering standards, and technical workflows to improve maintainability, scalability, and delivery speed.
  • Evaluate and apply modern tools, technologies, and engineering practices that improve the resilience and effectiveness of the overall data environment.
  • Create and maintain technical documentation across pipelines, integrations, warehouse models, and backend workflows to support team continuity and long-term sustainability.
  • Partner closely with analysts, technical teammates, vendors, and internal stakeholders to ensure backend data systems reliably support reporting, analytics, and operational decision-making.
  • Other duties as assigned.
Requirements:

Education & Experience:

  • 4+ years of professional experience in data engineering, cloud data infrastructure, backend integrations, or related technical roles supporting enterprise data environments.
  • 3+ years of hands-on experience developing and maintaining production-grade data pipelines, transformations, and backend workflows using Python.
  • Demonstrated experience building or supporting API-based integrations and automated cloud data workflows across multiple systems.
  • Experience working within version-controlled development environments and applying collaborative software engineering practices.


Skills & Abilities:

  • Strong capability designing and building reliable, scalable data pipelines and backend data workflows in cloud-based environments.
  • Strong command of SQL, relational databases, and data modeling concepts, with the ability to structure and optimize data for downstream use.
  • Proven ability to integrate and manage data across multiple systems, including APIs, databases, cloud services, and third-party platforms.
  • Strong understanding of modern software engineering and deployment practices, including version control, testing, code review, and release workflows.
  • Strong working knowledge of cloud environments and the core services that support data systems, including storage, compute, orchestration, monitoring, and security.
  • Strong troubleshooting and problem-solving ability, with a focus on diagnosing failures, improving system reliability, and maintaining data integrity.
  • Ability to operate effectively in evolving technical environments, bringing structure, sound judgment, and continuous improvement to systems and processes.
  • Ability to work independently and collaboratively with technical teammates, vendors, analysts, and internal stakeholders.
  • Strong written and verbal communication skills, including the ability to document systems clearly and explain technical concepts to technical and non-technical audiences.


Preferred Qualifications:

  • Experience designing and supporting cloud-based data solutions within GCP and Azure strongly preferred
  • Exposure to Infrastructure as Code (IaC), deployment automation, or related practices used to manage cloud-based technical environments..
  • Experience working in Agile, sprint-based technical environments and using workflow management tools such as Jira and/or JSM.


Physical Requirements:

  • Position requires prolonged periods of sitting and working at a computer, including regular use of a keyboard and other standard office equipment.
  • Position requires the ability to read, analyze, and visually review technical information and digital systems for extended periods of time.
  • Position requires limited travel, predominantly for professional development and relevant organizational needs.


Hours & Location:

  • You must live in or be able to relocate to Tulsa, OK or the surrounding area.
  • This is a hybrid position within an in-office leaning, highly collaborative work environment. Team members are generally expected to work onsite a minimum of three days per week, with additional hybrid flexibility available based on business needs, work demands, and supervisor approval.
  • This is a full-time position with an expectation of working 40 hours per week.
  • The typical hours of operation are Monday through Friday, 8:00 a.m. to 5:00 p.m. with flexibility required for various events, meetings, and relevant business needs.


Benefits:

As part of our overall compensation package, we offer work/life flexibility, comprehensive health benefits, paid time off, and generous retirement contributions designed to support you and your family.

  • 100% employer paid medical, dental, and long-term disability for full-time employees only. Option to add vision and dependents.
  • 401(k) employee and employer contributions.
  • Paid time off to support you while you are out of the office.
  • Paid holidays so our employees can spend time with those they care about.
  • Employer-paid AD&D life insurance, with employee option to add supplemental life insurance.