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Data Automation Internship Jobs in Washington (NOW HIRING)

This will be a paid, 10-week internship from June 1, 2026, to August 7, 2026 ] Title: Accounting ... Prepare and record journal entries in NetSuite ERP system. * Assist with research, data entry, and ...

2027 Summer Intern Associate

Bethesda, MD ยท On-site +1

$16 - $21.50/hr

Potential Internship Tracks Interns may be aligned to one of the following areas:Data Science ... Help improve data quality, governance, and automation processes * Participate in DataOps or ETL/ELT ...

2027 Summer Intern Associate

Bethesda, MD ยท Remote

$15.25 - $20.50/hr

Potential Internship Tracks Interns may be aligned to one of the following areas: Data Science ... Help improve data quality, governance, and automation processes * Participate in DataOps or ETL/ELT ...

The purpose of this internship is to teach candidates how to create usable information from ... Ability to bridge data analysis, research, competitive intelligence, and marketing savvy to build ...

The purpose of this internship is to teach candidates how to create usable information from ... Ability to bridge data analysis, research, competitive intelligence, and marketing savvy to build ...

Showing results 41-60

Data Automation Internship information

What is a data automation internship?

A Data Automation Internship is a temporary position, often for students or recent graduates, where you assist organizations in streamlining and automating data processes. Interns typically work with tools and programming languages like Python, SQL, or R to create scripts, workflows, or dashboards that reduce manual data handling. The internship provides hands-on experience with data management, automation tools, and process optimization, helping you develop practical skills for a career in data analysis or engineering. These roles often involve collaborating with data analysts, engineers, and other team members to identify opportunities for automation and improve data efficiency.

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

To thrive as a Data Automation Intern, you need a solid understanding of data analysis, programming (often Python, SQL), and basic knowledge of automation concepts, usually backed by coursework in computer science or a related field. Familiarity with data visualization tools, workflow automation platforms (like Alteryx or UiPath), and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns solve problems and collaborate on team projects. These abilities ensure efficient data processes, accurate results, and seamless integration with broader data initiatives.

What is the difference between Data Automation Internship vs Data Analyst?

AspectData Automation InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often requires some experience
Work EnvironmentInternship setting, often in tech or finance companies, focusing on automation projectsFull-time role in various industries, analyzing data to inform business decisions
Employer & Industry UsageUsed by companies developing automated data pipelines and toolsCommon in finance, marketing, healthcare, and other data-driven sectors

While a Data Automation Internship focuses on gaining hands-on experience in automating data processes, a Data Analyst is responsible for interpreting data, creating reports, and supporting decision-making. Internships are entry-level and temporary, whereas Data Analyst roles are more permanent and require a broader skill set.

What are some common challenges faced during a data automation internship, and how can interns effectively overcome them?

During a Data Automation Internship, common challenges include working with unfamiliar automation tools, ensuring data quality, and integrating automated workflows with existing systems. Interns can effectively overcome these by actively seeking guidance from team members, participating in code reviews, and dedicating time to learn the organization's preferred technologies. Regular communication with mentors and asking clarifying questions early helps resolve issues quickly and fosters a supportive learning environment.

What are the most commonly searched types of Data Automation jobs in Washington?

The most popular types of Data Automation jobs in Washington are:

What job categories do people searching Data Automation Internship jobs in Washington look for?

The top searched job categories for Data Automation Internship jobs in Washington are:

What cities in Washington are hiring for Data Automation Internship jobs?

Cities in Washington with the most Data Automation Internship job openings:

Infographic showing various Data Automation Internship job openings in Washington as of June 2026, with employment types broken down into 13% Full Time, 67% Part Time, 7% Temporary, and 13% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

CI/CD Platform Automation Engineer (DEVOPS)

INCATech LLC

Northern Virginia, VA โ€ข On-site

$52.50 - $72/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 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
Related Experience
  • 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
  • Exposure to automation and scripting (Python and/or JavaScript preferred)
  • Experience with infrastructure automation tools such as:o Ansible o AWS CDK, Terraform, or similar IaC frameworks
  • Familiarity with Linux environments and containerized workflows
  • Ability to write and optimize Docker files 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: o Compute services o Storage services (e.g., S3, Blob Storage)
  • Bachelorโ€™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
About INCATech LLC
INCATech is an award-winning small business that has over 14 years of experience supporting the US Government. We provide both Professional Services as well as Transformational Software Solutions for our customers. Our deep technical expertise in Geospatial Information Systems, Enterprise Data Management, User-Centered Design, Cloud amp; Platform Services, and a wide range of Acquisition Support Services will provide your career the boost you have been looking for. Our culture is based on empowering our staff and customers with knowledge and tools to achieve mission success and career advancement.
Benefits
INCATech offers a competitive comprehensive benefits package. Our most valuable asset at INCATech is our people. Our benefits package is designed to help and safeguard our employees and their families. We provide a variety of life and family benefits to meet a variety of demands. Benefits include: 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.