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$36.7K

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How much do internship automation engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for internship automation engineer in Virginia is $106,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $122,400.00 per year, depending on experience, location, and employer.

What is an internship automation engineer?

An Internship Automation Engineer is a temporary role where students or recent graduates gain hands-on experience in automation engineering. Interns typically assist in designing, developing, and testing automated systems, scripts, or processes to improve efficiency. They work with engineering teams to troubleshoot automation issues, analyze system performance, and document solutions. This role provides exposure to software tools, programming languages, and industry best practices in automation. It's an excellent opportunity to build technical and problem-solving skills in a real-world engineering environment.

What does an internship automation engineer do?

As an Internship Automation Engineer, you’ll typically work on assisting with the design, development, and testing of automated systems or scripts used to streamline processes. Your daily tasks may include writing and debugging code, preparing documentation, participating in team meetings, and supporting senior engineers with ongoing projects. You might also conduct automated testing, analyze data for process optimization, and help troubleshoot technical issues. This role offers hands-on experience that is valuable for developing both technical and professional skills, while providing opportunities to collaborate closely with cross-functional engineering and IT teams.

What skills and qualifications are needed to thrive as an internship automation engineer?

To thrive as an Internship Automation Engineer, you need a solid understanding of programming languages (such as Python, Java, or C#), engineering principles, and automation concepts, usually supported by ongoing or completed coursework in related fields. Experience with automation tools like Selenium, Jenkins, or PLC systems, as well as familiarity with version control platforms like Git, is often required. Strong problem-solving skills, attention to detail, and the ability to work collaboratively in a team environment are key soft skills. These abilities are essential for developing, testing, and maintaining automated solutions that improve efficiency and reliability in technical projects.

What are the most commonly searched types of Automation Engineer jobs in Virginia?

The most popular types of Automation Engineer jobs in Virginia are:

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For Internship Automation Engineer jobs in Virginia, the most frequently searched job titles are:

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What cities in Virginia are hiring for Internship Automation Engineer jobs?

Cities in Virginia with the most Internship Automation Engineer job openings:

Internship Automation Engineer jobs near you
Infographic showing various Internship Automation Engineer job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,207 per year, or $51.1 per hour.

CI/CD Platform Automation Engineer (DEVOPS)

Springfield, VA • On-site

Incatech Corp
11 - 50 employees
Learn more about Incatech Corpexternal

$90 - $120/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

CI/CD PLATFORM AUTOMATION ENGINEER (DEVOPS)

LOCATION: Springfield VA, Vienna, VA St. Louis, MO, potentially other locations. ALL work will be onsite.

Clearance: MUST possess active Top Secret clearance

INCATech is URGENTLY searching for a CI/CD Platform Automation Engineer (DEVOPS). In this position you will design and develop high-performance, secure, and automated pipelines for deployment of Esri technology in the cloud and on-premises. You will partner closely with software developers and cloud engineers to ensure our integration.

RESPONSIBILITIES
  • Exposure to Design, implement, and maintain high-speed CI/CD pipelines using GitHub Actions/Azure DevOps for cloud-native workflows and Jenkins for complex, cross-platform on‑premises build automation.
  • Architect and optimize Docker environments to ensure consistent, isolated, and reproducible build/test runners across the entire development lifecycle.
  • Work with the team to help lead the design of the next‑generation Python package creation process; manage complex Conda recipes and environments to ensure seamless distribution of the ArcGIS API and its dependencies.
  • Build and manage the underlying build infrastructure (runners, nodes, and registries) using automated provisioning to ensure high availability and scalability of the release system.
  • Implement automated security gatekeeping, including the generation of SBOMs (Software Bill of Materials), vulnerability scanning, and license compliance for all Python and Rust artifacts.
  • Work with the team to help design and implement monitoring frameworks to track build performance; assist in automated load and performance testing of the Python stack to identify regressions before release.
  • Identify and eliminate manual bottlenecks by transitioning legacy workflows into modern, "everything‑as‑code" processes.
  • Oversee the lifecycle of third‑party dependencies, ensuring that the supply chain is secure, from source code to the final distributed package.
REQUIREMENTS Qualifications
  • 1+ years of relevant experience (including internships, open‑source work, or academic projects) in DevOps, CI/CD, or platform automation.
  • Hands‑on experience designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Azure Pipelines, or similar).
  • Experience working with YAML‑based pipeline configurations and infrastructure definitions.
  • Experience with infrastructure automation tools such as: Ansible, AWS CDK, Terraform, or similar IaC frameworks.
  • Familiarity with Linux environments and containerized workflows.
  • Ability to write and optimize Dockerfiles and support container‑based deployments.
  • Understanding of artifact management, dependency management, and secure build practices.
  • Familiarity with SBOM tools and artifact signing concepts.
  • Exposure to cloud platforms (AWS and/or Azure), especially: Compute services, Storage services (e.g., S3, Blob Storage).
  • Bachelor’s degree in Computer Science, Engineering, DevOps, or related technical field (or equivalent practical experience).
Preferred
  • Master's in Computer Science, Mathematics, Geographic Information Systems (GIS), or STEM related field.
  • Experience automating backend systems and operational workflows.
  • Familiarity with release engineering and deployment strategies (blue/green, canary, etc.).
  • Experience integrating security scanning into pipelines (SAST/DAST, container scanning).
  • Exposure to Kubernetes‑based delivery environments.
  • Exposure to DevSecOps practices and secure development pipelines.
  • CompTIA Security+ certification.
  • Experience working in Agile or Scrum development environments.
Benefits
  • Health, Dental, 401K, Vision, Paid Time Off, Life Insurance, etc.

INCATech is an Equal Opportunity Employer.

Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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