QA Engineering Intern

Copart•Dallas, TX

About The Position

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.

Requirements

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.
Strong programming and analytical fundamentals.
Basic SQL knowledge.
Curiosity about data.
Problem-solving skills.
Willingness to learn.

Nice To Haves

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.

Responsibilities

Learn and contribute to quality and automated testing across data products, data contracts, data pipelines, reporting, and analytics solutions.
Translate business or technical requirements into basic test scenarios and validation checks.
Investigate data or application issues.
Collaborate with data engineers, developers, QA engineers, analysts, and product teams.
Gain hands-on experience with data quality and validation across the data lifecycle.
Test and validate data contracts, schemas, and interfaces.
Automate testing of data pipelines and ETL/ELT workflows.
Perform source-to-target and reconciliation testing.
Conduct SQL-based data validation.
Test APIs and data services.
Perform quality validation for reporting and analytics products.
Engage in UI and functional test automation using frameworks such as Playwright.
Integrate automated tests into CI/CD pipelines.
Investigate data discrepancies, test failures, and defects.
Understand data flow from source systems to reporting and analytics products.
Work collaboratively with experienced technology professionals.