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Data Processing Jobs in Oklahoma (NOW HIRING)

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Build and optimize ETL/ELT processes for efficient data ingestion, transformation, and storage. * Develop, monitor, and support a portfolio of integrations between internal systems and external ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Build and optimize ETL/ELT processes for efficient data ingestion, transformation, and storage. * Develop, monitor, and support a portfolio of integrations between internal systems and external ...

Pwc

Data Engineer - Senior Manager

Tulsa, OK

$124K - $280K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Oklahoma City, OK

$77K - $202K/yr

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 ...

Algonomy

Senior Database Developer

Oklahoma City, OK · On-site

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 ...

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

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 ...

Addison Group

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 ...

Addison Group

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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All JobsData Processing JobsData Processing Jobs in Oklahoma

Data Processing information

See Oklahoma salary details

$11

$18

$32

How much do data processing jobs pay per hour?

As of Aug 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 is data processing?

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.

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 are the key skills and qualifications needed to thrive in data processing, 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 do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

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 most commonly searched types of Data Processing jobs in Oklahoma?

The most popular types of Data Processing jobs in Oklahoma are:

What are popular job titles related to Data Processing jobs in Oklahoma?

For Data Processing jobs in Oklahoma, the most frequently searched job titles 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:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Oklahoma as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $38,921 per year, or $18.7 per hour.

Data and Analytics AI Engineer

AAON, Inc.

Tulsa, OK • On-site

$104K - $125K/yr

Full-time

Posted 20 days ago

AAON rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

178th of 490 rated machine equipment manufacturers

Job description

Job Description:
The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and operational excellence. This role serves as the technical bridge between business requirements and modern data platforms, delivering scalable data pipelines, database and reporting solutions, enterprise application integrations, and intelligent automation capabilities. The individual will work closely with business stakeholders, analysts, and application teams to develop integrated solutions leveraging SQL Server, cloud technologies, data engineering best practices, and modern analytics and AI platforms. The ideal candidate combines deep expertise in databases, integration, and business intelligence with a strong understanding of data modeling, ETL processes, reporting, and data governance.
Essential Job Duties and Responsibilities:
Data Engineering & Integration
  • Design, develop, and maintain enterprise data pipelines, data models, and integrations across ERP, CRM, HR, finance, and manufacturing systems.
  • Build and optimize ETL/ELT processes for efficient data ingestion, transformation, and storage.
  • Develop, monitor, and support a portfolio of integrations between internal systems and external providers.
  • Lead data migration and consolidation efforts to modernize or retire legacy applications.

Database Architecture & Administration
  • Architect, administer, and optimize SQL Server and other relational database environments supporting enterprise applications.
  • Ensure database performance, reliability, security, and availability across platforms.
  • Support audit and compliance activities, including evidence gathering and controls documentation (e.g., SOX).

Analytics & Business Intelligence
  • Develop enterprise reporting and dashboards using Power BI, SSRS, and related tools.
  • Partner with business units to define KPIs, gather requirements, and translate them into technical specifications.
  • Build self-service BI capabilities and optimize datasets, semantic models, and reporting performance.

AI & Intelligent Automation
  • Identify opportunities to eliminate manual processes through automation using Power Automate and related technologies.
  • Support development and deployment of AI, machine learning, and generative AI solutions as the enterprise platform matures.
  • Evaluate emerging AI and automation technologies and recommend adoption opportunities.

Platform Engineering & Operations
  • Support the Azure Data Platform, Microsoft Fabric, and related cloud data services.
  • Implement security, identity and access management, and compliance requirements.
  • Develop technical documentation, data lineage, and operational runbooks.

Collaboration & Leadership
  • Collaborate with business leaders to understand strategic objectives and translate them into technical solutions.
  • Mentor analysts and junior engineers and participate in architecture and governance reviews.

Education and Experience Requirements:
  • Bachelor's degree in Computer Science, Mathematics, Information Systems, Data Science, or related field, or relevant experience.
  • 10+ years of experience in data development, database administration, business intelligence, or enterprise integration roles.
  • Expert-level proficiency in SQL Server and T-SQL; experience with Oracle or other relational database platforms.
  • Proven experience developing and supporting large portfolios of enterprise application integrations, both internal and with third-party providers.
  • Hands-on experience with BI and reporting platforms (e.g., SSRS, Power BI, Tableau).
  • Experience supporting ERP and CRM platforms (e.g., Microsoft Dynamics), including migration and consolidation projects.
  • Proficiency in one or more programming languages (e.g., C#, Python).
  • Experience with data governance, security, and audit compliance practices.
  • Working knowledge of cloud platforms (Azure preferred) and modern data architectures.
  • Strong analytical thinking, problem-solving, and communication skills.

Preferred Skills:
  • Experience with Microsoft Fabric, Azure Data Factory, or data lake/lakehouse architectures.
  • Experience with Python and Spark/PySpark for large-scale data processing.
  • Exposure to generative AI technologies (e.g., Azure OpenAI, Copilot Studio, retrieval-augmented generation, AI agents).
  • Experience with Power Platform and Power Automate workflow development.
  • Experience with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps).
  • Microsoft Azure, Fabric, or Power Platform certifications.
  • Experience supporting manufacturing or industrial operations.
  • Experience leading, managing, or mentoring technical teams.

Knowledge, Skills, and Abilities:
  • Attention to detail and data accuracy
  • Systems thinking and technical leadership
  • Effective communication with technical and non-technical stakeholders
  • Business partnership and customer focus
  • Time management and project coordination
  • Continuous learning and adaptability

Work Environment:
While performing the duties of this job the employee will work in a climate-controlled office environment. May occasionally meet in the manufacturing facility and be exposed to:
  • Humidity, loud noises, dirt
  • Varying temperatures
  • Sheet Metal
  • Forklift traffic

Physical Demands:
  • Lift up to 10 lbs.
  • Occasional climbing
  • Occasional stooping
  • Sitting for prolonged periods

Disclaimer:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. This job description is not an exhaustive list of all functions that the employee may be required to perform, and the employee may be required to perform additional functions. The company reserves the right to revise this job description at any time. The employee must be able to perform the essential functions of the position satisfactorily. If requested, reasonable accommodation may be made to enable employees with disabilities to perform the essential functions of the job, absent undue hardship.

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