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Jenkins Engineer Jobs in Colorado (NOW HIRING)

$107K - $129K/yr

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 ...

Showing results 21-40

Jenkins Engineer information

What is a Jenkins Engineer?

A Jenkins Engineer is an IT professional who specializes in using Jenkins, an open-source automation server, to design, implement, and maintain continuous integration and continuous delivery (CI/CD) pipelines. Their main responsibilities include automating build, test, and deployment processes to streamline software development workflows. Jenkins Engineers also troubleshoot pipeline issues, integrate Jenkins with other tools, and ensure that deployment processes are reliable and scalable. They often collaborate closely with developers, DevOps teams, and quality assurance engineers to improve overall software delivery efficiency.

What are the key skills and qualifications needed to thrive as a Jenkins Engineer?

To thrive as a Jenkins Engineer, you need expertise in continuous integration/continuous deployment (CI/CD) concepts, scripting languages (like Groovy, Shell, or Python), and a background in software development or DevOps. Familiarity with Jenkins pipelines, plugin management, automation tools, and experience with cloud platforms or containerization (e.g., Docker, Kubernetes) are highly valued, as are certifications like Jenkins Engineer or DevOps certifications. Strong problem-solving skills, attention to detail, and effective communication set top candidates apart in this role. These skills ensure seamless automation, robust build and release processes, and efficient collaboration between development and operations teams.

How does a Jenkins Engineer typically collaborate with development and operations teams during the software delivery process?

A Jenkins Engineer plays a pivotal role in bridging the gap between development and operations teams by automating build, test, and deployment pipelines. They regularly meet with developers to understand application requirements and ensure CI/CD pipelines are tailored to project needs. Additionally, they work closely with operations teams to integrate Jenkins with infrastructure tools and ensure reliable delivery to production environments. Effective communication and a collaborative mindset are key, as Jenkins Engineers often troubleshoot pipeline issues and implement best practices that benefit the entire software delivery lifecycle.

What is the difference between Jenkins Engineer vs DevOps Engineer?

AspectJenkins EngineerDevOps Engineer
CertificationsJenkins certifications, Linux, scriptingCloud, CI/CD, Linux, scripting, sometimes Jenkins
Work EnvironmentDev teams, CI/CD pipelines, automationDevelopment, operations, automation, cloud platforms
Industry UsageSoftware development, testing, deploymentSoftware, IT, cloud services, infrastructure

Jenkins Engineers focus primarily on designing, implementing, and maintaining Jenkins CI/CD pipelines, often with certifications in Jenkins and scripting. DevOps Engineers have a broader role, encompassing automation, infrastructure management, and cloud integration, often working with Jenkins as part of their toolkit. While Jenkins Engineers specialize in CI/CD processes, DevOps Engineers oversee the entire development-to-operations lifecycle, making their roles complementary but distinct.

What are popular job titles related to Jenkins Engineer jobs in Colorado?

For Jenkins Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Jenkins Engineer jobs in Colorado look for?

The top searched job categories for Jenkins Engineer jobs in Colorado are:

What cities in Colorado are hiring for Jenkins Engineer jobs?

Cities in Colorado with the most Jenkins Engineer job openings:

Infographic showing various Jenkins Engineer job openings in Colorado as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

AWS Data Engineer | Big Data & Cloud Data Engineer

Long Finch Technologies

Englewood, CO

$113K - $135K/yr

Full-time

Posted 11 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.