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Data Processing Manager Jobs in Denver, CO (NOW HIRING)

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Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

... processing or declarative pipeline frameworks. * Familiarity with cloud-native functions and workflow orchestration tools. * Experience with data governance frameworks, metadata management, or ...

AIR Communities

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

... processing or declarative pipeline frameworks. * Familiarity with cloud-native functions and workflow orchestration tools. * Experience with data governance frameworks, metadata management, or ...

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Data Processing Manager information

See Denver, CO salary details

$35.5K

$54K

$70.5K

How much do data processing manager jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data processing manager in Denver, CO is $54,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $64,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing manager?

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What are the typical challenges faced by a data processing manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What does a data processing manager do?

A data processing manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, technical skills, and understanding of data security are essential for this role.

What are the most commonly searched types of Data Processing jobs in Denver, CO?

The most popular types of Data Processing jobs in Denver, CO are:

What are popular job titles related to Data Processing Manager jobs in Denver, CO?

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

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

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

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

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

Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Denver, CO as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $54,037 per year, or $26 per hour.

AWS Data Engineer | Big Data & Cloud Data Engineer

Glendale, CO • On-site

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

$110K - $132K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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.

Apply