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How much do validation engineer intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for validation engineer intern in Reston, VA is $20.09, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.78 per hour, depending on experience, location, and employer.

What does a validation engineer intern do?

A Validation Engineer Intern assists in ensuring that products, processes, or systems meet specified requirements and function as intended. Their responsibilities often include executing test protocols, collecting and analyzing data, documenting results, and supporting the development of validation documentation. Interns work under the supervision of experienced engineers and may be involved in activities like equipment qualification, process validation, and compliance checks, especially in regulated industries such as pharmaceuticals or manufacturing. This role provides practical experience with industry standards and regulatory guidelines.

What are some typical projects or responsibilities a validation engineer intern can expect during their internship?

As a Validation Engineer Intern, you can expect to participate in tasks such as developing and executing test protocols, collecting and analyzing test data, and documenting results to ensure systems, products, or processes meet regulatory and quality standards. Interns often work closely with senior engineers and cross-functional teams, supporting ongoing validation projects and troubleshooting issues as they arise. This hands-on experience helps you build practical skills in validation techniques, gain exposure to industry regulations, and better understand the workflow of a quality assurance or engineering team.

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

To excel as a Validation Engineer Intern, you typically need a background in engineering or a related technical field, along with a solid understanding of validation principles and quality standards. Familiarity with data analysis tools, validation protocols (IQ/OQ/PQ), and industry-specific software such as statistical analysis programs is often required. Strong attention to detail, analytical thinking, and effective communication skills help interns collaborate with teams and document results accurately. These competencies are crucial to ensure products and processes meet regulatory requirements and perform reliably in real-world applications.

What is the difference between Validation Engineer Intern vs Validation Engineer?

AspectValidation Engineer InternValidation Engineer
Required CredentialsTypically pursuing or recently completed a degree in engineering, life sciences, or related fieldsBachelor's or master's degree in engineering, life sciences, or related disciplines; professional certifications are common
Work EnvironmentInternship setting, often in manufacturing, pharmaceutical, or medical device industriesFull-time role in similar industries, with increased responsibilities
Employer & Industry UsageUsed in pharmaceutical, biotech, and medical device companies for training and entry-level rolesFull professional roles in the same industries, focusing on validation processes

The Validation Engineer Intern is an entry-level position designed for students or recent graduates gaining practical experience. In contrast, a Validation Engineer is a full-time professional responsible for executing validation protocols, ensuring compliance, and maintaining quality standards. Interns typically work under supervision, while Validation Engineers operate independently with more complex tasks.

What are the most commonly searched types of Validation Engineer jobs in Reston, VA?

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Validation Engineer Intern jobs near you

WBG Pioneer - AI Data Engineer Intern

The World Bank Group

Washington, DC • On-site

Internship

Re-posted 4 days ago

Job description

Every World Bank-financed project depends on systems that track how money is spent, how risk is managed, and how communities are protected. ITSFD builds those systems-this internship is a chance to work on them directly.

Background/Organizational Context

The World Bank Group (WBG) finances development projects across the globe through three distinct institutions, the International Bank for Reconstruction and Development and the International Development Association (IBRD/IDA), the International Finance Corporation (IFC), and the Multilateral Investment Guarantee Agency (MIGA). The Information and Technology Solutions (ITS) Vice Presidency of the World Bank Group delivers a wide portfolio of technology products and services that enable the WBG's development mission. Within ITS, the Fiduciary Operations unit (ITSFD) is responsible for digital solutions that support Procurement, Financial Management, and Environmental and Social Safeguards across World Bank operations. 

About the Team: Procurement

The Procurement team sits within ITS Fiduciary Operations (ITSFD) and is responsible for the digital systems that support procurement activities across World Bank-financed projects. Its flagship platform is STEP (Systematic Tracking of Exchanges in Procurement), an end-to-end online system used for procurement planning, tracking, and document management across the full procurement lifecycle; from planning through contract management. STEP is used by Task Team Leaders, Procurement Specialists, and borrowers alike and supports transparency and accountability through machine-readable reporting and open contracting data. 

The intern will gain hands-on experience in how a global institution plans and  validates data migration for a complex platform modernization. The role offers exposure to agile delivery, data governance, QA practices, UAT preparation, stakeholder coordination, and the practical realities of moving from legacy systems to a modern digital platform.

Duties and Responsibilities
  • Collect data from databases, APIs, cloud storage, files, and other sources.
  • Clean and transform raw data by handling missing values, duplicates, incorrect formats, and outliers, and build and maintain ETL/ELT pipelines using Python, SQL, and data-engineering tools.
  • Perform data validation and quality checks to ensure accuracy and consistency.
  • Work with large datasets using platforms such as Snowflake, Databricks, Spark, or cloud services.
  • Create and maintain data tables, schemas, feature datasets, and data documentation.
  • Assist with feature engineering for machine-learning models.
  • Support vector databases, embeddings, and Retrieval-Augmented Generation pipelines for generative AI applications.
  • Collaborate with data engineers, data scientists, ML engineers, and software developers.
  • Participate in code reviews, team meetings, testing, and technical documentation.

Apply