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Data Processor Jobs in Colorado Springs, CO (NOW HIRING)

Data Analyst

Colorado Springs, CO · On-site

$100 - $125/hr

Team & Process SupportMaintain documentation for data sources, metrics, reports, dashboards, and analytical processes.Follow established development, quality assurance, and change management ...

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

This role applies data science, statistics, and automation to mission analytics, helping operational and intelligence teams process large, complex datasets and convert them into actionable insights ...

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

This role applies data science, statistics, and automation to mission analytics, helping operational and intelligence teams process large, complex datasets and convert them into actionable insights ...

This role ensures that product configurations, documentation, and data management processes comply ... with company standards, customer requirements, and applicable regulations. This project delivers a ...

This role ensures that product configurations, documentation, and data management processes comply with company standards, customer requirements, and applicable regulations. This project delivers a ...

This position plays a critical role in optimizing maintenance processes, improving system reliability, and supporting decision-making through data-driven analysis. This role offers a unique ...

This position plays a critical role in optimizing maintenance processes, improving system reliability, and supporting decision-making through data-driven analysis. This role offers a unique ...

This position plays a critical role in optimizing maintenance processes, improving system reliability, and supporting decision-making through data-driven analysis. This role offers a unique ...

This position plays a critical role in optimizing maintenance processes, improving system reliability, and supporting decision-making through data-driven analysis. This role offers a unique ...

Data Engineer

Colorado Springs, CO · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Achieving data dominance provides a critical competitive advantage ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate ...

You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate ...

Data Entry

Colorado Springs, CO · On-site

$23 - $28/hr

Manage work-flow processes for timely completion. * Research data discrepancies and provide root cause analysis. * Learn the ERP system and understand its relationship to all operations. * Extract ...

Showing results 21-40

Data Processor information

See Colorado Springs, CO salary details

$11

$19

$33

How much do data processor jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data processor in Colorado Springs, CO is $19.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $21.68 per hour, depending on experience, location, and employer.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a data processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Many roles also offer benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.

What are popular job titles related to Data Processor jobs in Colorado Springs, CO?

For Data Processor jobs in Colorado Springs, CO, the most frequently searched job titles are:

What job categories do people searching Data Processor jobs in Colorado Springs, CO look for?

The top searched job categories for Data Processor jobs in Colorado Springs, CO are:

What cities near Colorado Springs, CO are hiring for Data Processor jobs?

Cities near Colorado Springs, CO with the most Data Processor job openings:

Infographic showing various Data Processor job openings in Colorado Springs, CO as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 67% In-person, 16% Hybrid, and 17% Remote job distribution, with an average salary of $41,541 per year, or $20 per hour.

Data Scientist

Radiance Technologies

Colorado Springs, CO • On-site

Full-time

Re-posted 11 days ago


Job description

Radiance Technologies, a rapidly growing employee-owned company, is seeking an experienced Data Scientist to support the U.S. Army Space and Missile Defense Command (USASMDC) at Peterson Space Force Base, Colorado. This position supports a customer-funded, one-year effort with an anticipated period of performance from September 1, 2026, through August 31, 2027. The selected candidate will apply advanced data analytics techniques to support national security missions by researching and analyzing structured and unstructured data, developing complex database queries and analytical tools, and transforming data into actionable insights.
The Data Scientist will develop and implement data strategies using various data sources to support quantitative and qualitative content analytics and will apply knowledge of computer science concepts, data architecture, intelligence practices, and big-data environments. Working as part of a multi-disciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, contribute to new analytical capabilities across the enterprise, solve complex mission challenges, and communicate technical findings, recommendations, and insights to both technical and non-technical stakeholders. Particular emphasis will be placed on data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization in support of the Common Intelligence Picture (CIP).
Duties and Responsibilities
  • Design and develop methods, processes, and systems to consolidate, integrate, and analyze structured and unstructured data.
  • Develop and apply advanced software programs, algorithms, query techniques, models, and automated processes to cleanse, integrate, and evaluate datasets.
  • Develop and execute complex database queries across multiple databases and Application Programming Interfaces using Python and other applicable programming languages.
  • Analyze requirements and evaluate technologies supporting data science capabilities, including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Develop and implement data strategies using diverse data sources to support quantitative and qualitative content analytics.
  • Incorporate existing NRO- and NGA-developed AI-enabled automated collection strategies and Automated Target Recognition (ATR) models using Computer Vision (CV).
  • Collaborate across multidisciplinary teams to integrate diverse data sources, including SIGINT, GEOINT, All-source, and Targeting data.
  • Contribute to the development of new analytical tools, algorithms, and data science capabilities across the enterprise.
  • Identify meaningful insights, interpret analytical results, and communicate findings and recommendations to Government and contractor stakeholders.
  • Support data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization supporting the Common Intelligence Picture (CIP).
  • Develop analytical techniques to improve organizational performance and solve complex mission challenges.
  • Maintain awareness of emerging data analytics, artificial intelligence, and big-data technologies.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline or equivalent experience.
  • Eight (8) or more years of experience performing intelligence analysis, data analysis, or closely related work. Eleven (11) years of task-related experience may be substituted for a bachelor's degree.
  • U.S. Citizenship.
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.
  • Experience with AWS or a similar cloud computing provider.
  • Demonstrated experience solving problems using structured and unstructured data.
  • Demonstrated experience applying statistical analysis and data visualization techniques.
  • Demonstrated knowledge of computer science concepts, data architecture, intelligence practices, and managing data in big-data environments.
  • Experience performing complex data analysis and database queries.

Desired Qualifications
  • GIS Systems Engineering experience.
  • Familiarity with Palantir programs.
  • Ability and willingness to travel approximately two weeks per year for conferences and coordination with stakeholders.
  • Demonstrated experience working on data science projects in multiple domains and providing new capabilities to the organization and customers.
  • Experience in two or more of the following:
  • Python
  • Machine Learning
  • Natural Language Processing
  • Neural Networks
  • Apache Spark
  • Hadoop
  • R
  • C++
  • SQL database/coding
  • Visualization tools such as Tableau
  • Ability to perform complex tasks and participate in determining objectives of assignments, including planning schedules and working independently to achieve objectives.
  • Proficiency in applying technical standards, principles, theories, concepts, and analytical techniques across multiple applications.
  • Experience developing solutions to address a national security issue or provide a competitive advantage for an organization.

Position Duration
This position supports a customer-funded effort with an anticipated period of performance from September 1, 2026 through August 31, 2027. Employment is expected to conclude upon completion of the customer requirement. While Radiance cannot guarantee follow-on work after the period of performance, employees are welcome to apply for other open positions within the company for which they are qualified.
Salary Range
$150,000 - $175,000
Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.