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Data Processing Jobs (NOW HIRING)

Data Processing Clerk Established in 1987, Triad Metals is a privately held, independent company that has grown to become one of the premier wholesale distributors and processors of structural steel ...

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 ...

Data Processing Supervisor RR Donnelley is looking for a client-focused Data Processing Supervisor with experience growing business to join the team at the Monroe, WI location! This position will act ...

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 ...

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 ...

The DPA works closely with the Data Processing Team, Account Managers, as well as internal and external clients to ensure the proper processing of incoming data, selecting/updating data based on ...

Data Processing Programmer

Renton, WA ยท On-site +1

$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 ...

Data Processing Programmer

Renton, WA ยท 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 ...

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How much do data processing jobs pay per hour?

As of Sep 1, 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 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 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Data Processing Engineer

Austin, TX โ€ข On-site

$72K - $83K/yr

Full-time

Posted 7 days ago


Job description

Robotic Data is seeking to hire Junior Level Data Processing Engineers to support our data processing and mapping operations. This role will focus on handling, transforming, and validating large datasets generated from mapping systems. This is a full-time role with an immediate start date.
Candidates are required to have strong experience working in Linux environments, the ability to read and modify Python scripts, and hands-on experience working with Docker containers and Git version control.
Selected candidates will be involved in executing and maintaining data processing workflows, troubleshooting pipeline issues, and supporting our data operations team.
You must live in Austin, Texas or be willing to relocate โ€“ as we have business operations in these locations.
What we expect from the candidate:
  • Ability to work independently and manage data processing tasks efficiently
  • Strong problem-solving skills and attention to detail
  • Ability to follow technical instructions and troubleshoot issues
  • Good communication skills and ability to work in a team
  • Ability to handle large datasets and work in a fast-paced environment
  • Ownership mindset with the ability to deliver consistent results
Required Experience:
  • Strong experience with Linux, including:
    • Bash scripting
    • File system operations and permissions
    • Process monitoring
    • Working via SSH
    • Mounting network shares
  • Experience with Python 3:
    • Ability to read, modify, and debug scripts
  • Experience with Docker:
    • Running containers
    • Managing images
    • Retrieving logs
    • Understanding volume mounts
  • Working knowledge of Git:
    • Checkout and commit workflows
    • Basic branching
  • Ability to troubleshoot technical issues and follow structured workflows
Good to have:
  • Experience with orchestration frameworks such as Dagster, Apache Airflow, or Prefect
  • Experience using AWS CLI (S3 data upload/download)
  • Familiarity with PDAL and point cloud data processing
  • Experience with ROS, including command-line tools such as rosbag
Preferred Background:
  • 2+ years of experience in data processing, data engineering, or similar technical roles
  • Experience working with large datasets or data pipelines
  • Experience supporting production-level data workflows
Pay:
Austin, Texas:
  • $72K โ€“ $83K per year (depending on experience)
Job Type:
  • Full Time
  • Benefits package
Location:
  • Austin, Texas
Work Model:
  • Office environment (Austin office required)
Recruitment Process:
Application gt; Screening Interview gt; Technical Evaluation gt; Final Interview gt; Decision gt; Hire gt; Probation Period Evaluation
DO NOT CONTACT THE HIRING MANAGER DIRECTLY. YOU MUST FOLLOW THE APPLICATION PROCESS
About Us: Robotic Data provides the real-world data infrastructure for Physical AI. The company combines World Data and Human Data to create high-quality datasets that enable autonomous vehicles, drones, embodied AI, humanoid robots, and other intelligent systems to understand, navigate, and operate safely in the physical world. Learn more at www.roboticdata.com.
EEO Statement: Robotic Data is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.
DISCLAIMER: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Robotic Data.