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Data Processing Jobs (NOW HIRING)

The Data Processing Supervisor is responsible for overseeing daily operations related to complex document handling and data conversion, including leading a team dedicated to receiving, sorting, and ...

... processing preferred Technical proficiency with banking systems and data entry shift 8-5pm 1 week a month between hours 11:30am-9pm EOE Statement The above statements describe the general nature and ...

Data Processing Programmer

Renton, WA · On-site

$80K - $110K/yr

The Data Processing Programmer is responsible for designing, developing, and supporting data processing solutions that drive high-volume print, mail, and customer communication workflows. This ...

Plan, assign and direct the work of Data Processing Technicians * Create and implement in-house production schedules * Assist systems managers with auditing processes * Prepare daily reports and ...

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Data Processing information

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How much do data processing jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for data processing in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 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 cities are hiring for Data Processing jobs? Cities with the most Data Processing job openings:
What are the most commonly searched types of Data Processing jobs? The most popular types of Data Processing jobs are:
What states have the most Data Processing jobs? States with the most job openings for Data Processing jobs include:
Infographic showing various Data Processing job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

Titan International is a global leader in specialty tires and wheels, serving industries such as agriculture, construction, outdoor power equipment, powersports, and trailers. We deliver high-quality products that help keep equipment operating and businesses moving. With a strong global footprint and a customer-first mindset, we’re focused on growth, innovation, and building a team that drives our continued success.

We’re seeking a Data Processing Specialist to join our team. This role will report to the Director of Customer Experience and is responsible for ensuring the accurate entry, maintenance, and validation of data across key business systems. The Data Processing Specialist supports day-to-day data operations, resolves discrepancies, and helps maintain data integrity to enable efficient business processes and decision-making.

This position plays an important role in supporting operational accuracy and performance by ensuring data is complete, consistent, and accessible across systems. The Data Processing Specialist supports business operations through accurate transaction processing, data maintenance, and cross-functional collaboration to ensure customer, product, pricing, and order information is reliable and up to date.

What you will be doing:

  • Enter, update, and maintain data across ERP and business systems
  • Process and maintain customer orders, including order updates, backorder management, and order fulfillment activities
  • Review and validate data for accuracy, completeness, and consistency
  • Identify, investigate, and resolve data discrepancies or errors
  • Maintain customer master data, including address book and related records within the ERP system
  • Support pricing requests, customer forecasts, and product availability inquiries through accurate data management
  • Prepare and distribute order acknowledgements and other business communications as needed
  • Partner with customers, Sales, and cross-functional teams to ensure data, order, and delivery requirements are met
  • Support data audits, reporting, and quality control processes
  • Assist with data uploads, system updates, and process changes
  • Maintain documentation related to data processes and workflows
  • Support reporting needs by ensuring clean, reliable data inputs
  • Contribute to continuous improvement efforts to enhance data accuracy and efficiency
  • Other duties as assigned

What’s in it for you?

  • Competitive compensation package
  • Full Benefits – Medical, Dental, Vision, and more!
  • Paid Time Off
  • 401(k) matching
  • Opportunity to get in with an industry leading organization
  • Team-oriented culture

Required Education and Experience:

  • High school diploma or equivalent required; associate or bachelor’s degree preferred
  • 1–3 years of experience in data entry, data processing, administrative support, or customer service
  • Experience working with ERP systems or business data platforms preferred
  • Basic to intermediate proficiency in Microsoft Excel
  • Highly detail-oriented with a strong focus on accuracy
  • Organized with the ability to manage multiple tasks and priorities in a fast-paced environment
  • Analytical mindset with strong problem-solving skills
  • Effective communication and cross-functional collaboration skills
  • Self-motivated with a strong sense of ownership and accountability
  • Customer-focused with the ability to communicate professionally and support internal and external business partners
  • Continuous improvement mindset