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Data Processing Jobs (NOW HIRING)

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

Bring order to dirty and/or unstructured data. * Develop ETL-style automation scripts. * Monitor the ingestion process for issues. * Collaborate with the team to design and build innovative data ...

ARL

Data Processing Chemist

Oklahoma City, OK · On-site

$23 - $26/hr

This is an entry-level role, the Data Processing Chemist I, will be responsible for collaborating with chemists, of various levels, performing supportive tasks to ensure efficient processing of ...

Truveta

Software Engineer - Data Processing

Seattle, WA · On-site +1

$110K - $145K/yr

Software Engineer - Data Processing Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster ...

Pheaa

Data Processing Clerk , PA

Harrisburg, PA · On-site

$15/hr

CW Operations Processing HQ Customer Service / Support / Operations Harrisburg, PA • ID: 637-369 • Full-Time/Regular PHEAA is a nonprofit student aid organization that holds a mission of ...

Datapelago

Data Processing Engineer - I/O

$117K - $140K/yr

Data Processing Engineer - I/O DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data ...

Lineage Logistics

Data Processing Technician

Fontana, CA · On-site

$19.18 - $32.40/hr

Create and implement in-house production schedules, maintain network components and systems/warehouse equipment, and assist with technical issues across multiple facilities. Friday - Tuesday from 3 ...

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How much do data processing jobs pay per hour?

As of Aug 18, 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.
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DATA Processing jobs near you
Infographic showing various Data Processing job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Data Processing Engineer

SpyCloud

Austin, TX • On-site, Remote

$111K - $144K/yr

Full-time

Posted 28 days ago

Job description

*The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter*

We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week.

Our Stack:

  • Python
  • Linux
  • Databases: Elasticsearch, SQL, Databricks
  • AWS (EC2, RDS, SQS, S3, Lambda, API Gateway, and more)

What You'll Do:

  • Parse, clean, and transform structured and unstructured datasets to the spycloud schema.
  • Build Python-based automation for the parsing platform.
  • Bring order to dirty and/or unstructured data.
  • Develop ETL-style automation scripts.
  • Monitor the ingestion process for issues.
  • Collaborate with the team to design and build innovative data systems.
  • Analyze data based on the consumption of blogs for the marketing team.
  • Develop processes, standards and CI/CD pipelines to manage our codebase.
  • Leverage AI to help automate parsing dirty datasets

Requirements:

  • 5-7 years of professional experience as a Python developer.
  • A love of working with data.  Familiarity with cleaning/transforming data.
  • Experience building data solutions and automation tools using Python.
  • Proficient in Linux bash/ksh scripting and Regular Expressions.
  • Interest in cybersecurity.
  • Strong understanding of computer science fundamentals (data structures, algorithms, data processing).
  • Experience with relational and NoSQL databases.
  • Excellent communication skills.
  • Great team player.
  • Self-directed, empathetic, and eager to automate repetitive tasks.
  • Able to switch contexts as business needs change.

Nice to Have:

  • Background or strong interest in cybersecurity.
  • Familiarity with Git version control system.
  • Experience with AWS (Compute, Storage, Database).
  • Experience working with Infrastructure as Code (we use Terraform and Ansible).

Base Salary Range: $111,000 - 144,000

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.

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