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QA Engineering Intern


Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Benefits
Health Insurance

Job Description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries.  We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology. 

QA Engineering Intern

Copart Tech’s Test Automation Team is looking for a motivated and technically curious Test Automation Intern to learn and contribute to quality and automated testing across our data products, data contracts, data pipelines, reporting, and analytics solutions.

This is an excellent opportunity for a student or early-career candidate with a foundation in Java, SQL, and software development concepts who is interested in learning how data quality and automated testing are integrated into modern data and analytics solutions.

The ideal candidate is a quick learner, problem solver, and team player who enjoys working with data, understanding how systems work, and improving software and data quality through automation.

Basic Qualifications

  • Currently pursuing a degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related field, or equivalent technical education.
  • Basic to intermediate Java programming skills with a good understanding of programming fundamentals and object-oriented concepts.
  • Good understanding of SQL and relational databases.
  • Strong interest in data quality, software testing, and test automation.
  • Ability to understand business or technical requirements and translate them into basic test scenarios and validation checks.
  • Basic understanding of Git/source control and software development practices.
  • Strong analytical and problem-solving skills with an interest in investigating data or application issues.
  • Good written and verbal communication skills.
  • Ability to collaborate with data engineers, developers, QA engineers, analysts, and product teams.

Preferred / Nice-to-Have Skills

  • Academic, internship, or project experience with SQL and data validation.
  • Exposure to data pipelines, ETL/ELT processes, or data warehouses.
  • Familiarity with data quality concepts, data profiling, reconciliation, or validation.
  • Exposure to data contracts, schemas, APIs, or source-to-target validation.
  • Experience with Playwright, Selenium, or another test automation framework.
  • Basic experience with REST API testing.
  • Familiarity with Git and CI/CD concepts.
  • Exposure to tools such as GitHub Actions, Jenkins, or GitLab CI.
  • Experience with Python, TypeScript, or JavaScript is a plus.
  • Exposure to reporting or analytics tools is a plus.
  • Basic understanding of cloud platforms such as GCP, AWS, or Azure is a plus.

What You’ll Learn

As part of the Data & Analytics Test Automation Team, the intern will gain hands-on experience with:

  • Data quality and validation across the data lifecycle
  • Testing and validating data contracts, schemas, and interfaces
  • Automated testing of data pipelines and ETL/ELT workflows
  • Source-to-target and reconciliation testing
  • SQL-based data validation
  • Testing APIs and data services
  • Quality validation for reporting and analytics products
  • UI and functional test automation using frameworks such as Playwright
  • Integrating automated tests into CI/CD pipelines
  • Investigating data discrepancies, test failures, and defects
  • Understanding how data moves from source systems → data pipelines → data warehouse → reporting → analytics products
  • Working collaboratively with data engineers, developers, QA engineers, analysts, and product teams

What We’re Looking For

We are primarily looking for someone with strong programming and analytical fundamentals, basic SQL knowledge, curiosity about data, problem-solving skills, and a willingness to learn.

Academic coursework, personal projects, internships, coding bootcamps, or university projects involving Java, SQL, databases, data, or software development are all valuable.

The internship will provide the opportunity to develop practical experience in Data QA, Data Quality, Test Automation, CI/CD, Data Engineering, Reporting, and Analytics while working alongside experienced technology professionals.

Benefits Summary: ·        Medical

#LI-KK1

At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.

E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

  • E-verify Participation
  • Right to Work

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FAQs About QA Engineering Intern Jobs at Copart

What is the work location for this position at Copart?
This job at Copart is located in Dallas, Texas, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Copart?
Employer has not shared pay details for this role.
What employment applies to this position at Copart?
Copart lists this role as a Full-time position.
What experience level is required for this role at Copart?
Copart is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Copart for this role?
Copart offers Health Insurance for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Copart?
You can apply for this role at Copart either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.