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Data Processor Jobs in Denver, CO (NOW HIRING)

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Staff Data Engineer

Denver, CO

Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream processing. * Expert-level proficiency in PySpark, Python, and SQL. * Expertise in data modeling, relational ...

ClifyX

Data engineer requirement

Denver, CO · On-site

$117K - $141K/yr

ClifyX is a company seeking a Data Engineer who will analyze existing job dependencies and enhance data processes. The role involves developing workflows, optimizing SQL queries, and collaborating ...

LG Ad Solutions

Software Engineer II, Data Engineer

Denver, CO · On-site

$117K - $141K/yr

... processing terabytes of advertising and ACR data. • Build and maintain internal platform tooling to enforce strict Data Governance, Data Quality, and Data Compliance standards across all data ...

AIR Communities

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Advanced proficiency in SQL and/or Python for data processing, transformation, and automation. * Hands-on experience building and optimizing data pipelines and integration workflows. * Strong ...

AIR Communities

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Advanced proficiency in SQL and/or Python for data processing, transformation, and automation. * Hands-on experience building and optimizing data pipelines and integration workflows. * Strong ...

AIR Communities

Lead Data Engineer

Denver, CO

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Advanced proficiency in SQL and/or Python for data processing, transformation, and automation. * Hands-on experience building and optimizing data pipelines and integration workflows. * Strong ...

LG Ad Solutions

Software Engineer II, Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Design, develop, test, and deploy robust backend services and data pipelines processing terabytes of advertising and ACR data. • Platform & Governance: Build and maintain internal platform tooling ...

US Bank

Infrastructure Data Analytics Engineer

Denver, CO

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and develop data ingestion processes from multiple sources, including: * Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure, AWS) * Enterprise ...

New

Pwc

Data Engineer - Manager

Denver, CO

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Zero Carbon Systems, Inc.

Data Analyst

Brighton, CO · On-site

$110K - $130K/yr

Data Processing and Analysis: Perform data cleaning, manipulation, and statistical analysis to identify patterns, trends, and anomalies in collected data. Use statistical analysis software, such as ...

Cymertek

Data Conditioning Systems Engineer

Aurora, CO · On-site

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this position, you will be responsible for developing, implementing, and maintaining data conditioning processes that prepare data for analysis, modeling, and operational use. The ideal candidate ...

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Showing results 21-40

All JobsData Processor JobsData Processor Jobs in Denver, CO

Data Processor information

See Denver, CO salary details

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How much do data processor jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data processor in Denver, CO is $20.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.03 per hour, depending on experience, location, and employer.

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.

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 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.

How much does a data processor earn?

The average salary for a data processor in the United States ranges from $30,000 to $50,000 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. Salaries are often complemented by 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 accessibility. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating to support business operations.
More about Data Processor jobs

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

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

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

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

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

Data Processor jobs near you
Infographic showing various Data Processor job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $43,387 per year, or $20.9 per hour.

AWS Data Engineer | Big Data & Cloud Data Engineer

Long Finch Technologies

Englewood, CO • On-site

$113K - $135K/yr

Full-time

Posted 15 days ago

Job description

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal candidate will have strong experience building data pipelines, managing data platforms, and delivering enterprise-level analytics solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and architectures on AWS to support analytics, reporting, and operational workflows.
  • Develop ETL/ELT solutions using AWS services.
  • Build and manage cloud-based data lakes and data warehouse solutions using: Amazon S3, Amazon Athena, Amazon Redshift and Amazon RDS.
  • Design and implement scalable data architectures while ensuring data quality, security, and integrity.
  • Develop data processing workflows to support large-scale data ingestion and transformation.
  • Collaborate with data scientists, analysts, and business teams to curate and optimize production-ready datasets.
  • Monitor, troubleshoot, and improve data pipeline performance and reliability.
  • Work with DevOps tools and practices including Jenkins and Maven for deployment automation.
Required Experience & Skills
  • 7+ years of experience in Big Data Engineering, Data Engineering, or related roles.
  • Strong hands-on experience with AWS cloud services and Big Data technologies.
  • Experience designing, developing, and maintaining scalable data pipelines and cloud-based data architectures.
  • Proficiency in developing ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Kinesis, and Step Functions.
  • Experience building and managing data lakes and data warehouses using AWS services including S3, Athena, Redshift, and RDS.
  • Strong knowledge of data modeling, data integration, and ensuring data quality and integrity.
  • Experience working with Hadoop and other Big Data technologies.
  • Strong SQL skills with experience in databases such as Oracle 10g/11g/12c and SQL Server.
  • Experience with Unix/Linux environments and scripting.
  • Familiarity with DevOps tools such as Jenkins and Maven.
  • Experience with monitoring and logging tools such as Splunk is preferred.
  • Ability to collaborate with data scientists, analysts, and cross-functional teams to deliver production-ready data solutions.

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