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Data Processing Jobs in Dayton, OH (NOW HIRING)

CYNET SYSTEMS

EDI Data Analyst- Lead

Mason, OH · On-site

$21 - $26/hr

Demonstrated experience working with data, file processing, EDI, eligibility, enrollment, or another technical/transactional environment. * Strong attention to detail and ability to identify data ...

Guidehouse

Senior Data Engineer

Beavercreek, OH · On-site

$80K - $133K/yr

Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads. * Build and optimize data architectures, data models, and ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Ensure high performance, scalability, and reliability of data systems Pipeline & Data Platform Development Develop and optimize batch and real-time data processing pipelines. * Work with modern tools ...

Guidehouse

Data Engineer

Beavercreek, OH · On-site

$53K - $88K/yr

Document technical processes, data flows, and system configurations. * Continuously develop technical skills and stay current with emerging data engineering technologies and best practices. What You ...

Guidehouse

Public Health Data Engineer

Beavercreek, OH · On-site

$106K - $127K/yr

Document technical processes, data flows, and system configurations. * Continuously develop technical skills and stay current with emerging data engineering technologies and best practices. What You ...

MMB Solutions LLC

Mid-Level Systems Engineer

Dayton, OH · On-site

$130K - $185K/yr

Support the design and evolution of distributed data processing and analytics platforms * Assist in developing system architectures for scalable data ingestion, processing, and analytics pipelines

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All JobsData Processing JobsData Processing Jobs in Dayton, OH

Data Processing information

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$11

$19

$32

How much do data processing jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data processing in Dayton, OH is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $21.11 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 Dayton, OH?

The most popular types of Data Processing jobs in Dayton, OH are:

What are popular job titles related to Data Processing jobs in Dayton, OH?

For Data Processing jobs in Dayton, OH, the most frequently searched job titles are:

What job categories do people searching Data Processing jobs in Dayton, OH look for?

The top searched job categories for Data Processing jobs in Dayton, OH are:

What cities near Dayton, OH are hiring for Data Processing jobs?

Cities near Dayton, OH with the most Data Processing job openings:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Dayton, OH as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $40,971 per year, or $19.7 per hour.

Distributed Systems Engineer: Data & Analytics

Valid8 Financial, Inc.

Dayton, OH • On-site

$100 - $125/hr

Other

Re-posted 3 days ago

Key responsibilities

  • Support the design and evolution of distributed data processing and analytics platforms

  • Assist in developing system architectures for scalable data ingestion, processing, and analytics pipelines

  • Support integration of distributed system components across multiple compute environments

Job description

Location: Dayton, Ohio
Security Clearance: U.S. Citizenship Required | Ability to obtain and maintain a U.S. Government Security Clearance

Experience: 3-8 years of experience in systems engineering, distributed systems, or complex software platforms

  • Computer Science
  • Electrical Engineering
  • Software Engineering

Overview

MMB Solutions is seeking a Mid-Level Systems Engineer to support the development of advanced distributed data processing and analytics platforms. This role focuses on research, development, and experimentation with distributed computing architectures, data pipelines, and scalable analytics systems designed to process and analyze multi-modal data sources.

The successful candidate will work with a multidisciplinary engineering team designing and integrating cloud-native infrastructure, distributed processing systems, and advanced analytics workflows supporting complex mission and research environments.

This is an opportunity to contribute to cutting-edge technology development involving distributed systems, data processing frameworks, and advanced analytics architectures.

Key Responsibilities

Systems Engineering & Architecture

  • Support the design and evolution of distributed data processing and analytics platforms
  • Assist in developing system architectures for scalable data ingestion, processing, and analytics pipelines
  • Define and document system interfaces across heterogeneous data sources and processing components
  • Contribute to system requirements, architecture documentation, and technical design artifacts

Research and Development

  • Support experimentation with distributed computing architectures and large-scale data processing frameworks
  • Assist with development of data pipelines capable of ingesting and processing multi-modal datasets
  • Participate in research activities exploring new approaches to data analytics, system scalability, and distributed processing
  • Contribute to prototype development and evaluation of emerging technical capabilities

Integration and Testing

  • Support integration of distributed system components across multiple compute environments
  • Participate in system testing, validation, and evaluation of new platform capabilities
  • Assist in the development of experimental processing pipelines and analytical workflows
  • Support technical demonstrations and system evaluations

Platform Development Support

  • Work with software engineers to integrate new platform capabilities and services
  • Assist in developing interfaces to new data sources and processing modules
  • Support deployment and configuration of distributed system components
  • Contribute to performance tuning and system optimization activities

Documentation & Technical Communication

  • Develop and maintain system engineering documentation, including architecture diagrams and interface descriptions
  • Document experimental results, system evaluations, and technical findings
  • Support technical discussions and design reviews with internal engineering teams and external stakeholders
Desired Qualifications

Candidates with the following experience are strongly preferred:

  • Experience with distributed systems architectures
  • Familiarity with containerized environments (Docker, Kubernetes)
  • Experience working with data pipelines or streaming data architectures
  • Experience integrating analytics or machine learning workflows
  • Experience with cloud-native infrastructure or DevOps environments
  • Familiarity with simulation environments or complex data processing systems
  • Experience supporting research and development programs

MMB Solutions is a technology-driven engineering firm focused on developing advanced distributed computing and analytics platforms. Our engineers work on complex technical challenges involving large-scale data processing, emerging computing architectures, and next-generation analytics systems.

We offer an environment where engineers can work on innovative technologies, collaborate with highly technical teams, and contribute directly to the development of new capabilities.

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