{"schemaVersion":"jobsearcher.job.v1","id":"b2de2941d65c35cdcc778ce3","url":"https://jobsearcher.com/jobs/b2de2941d65c35cdcc778ce3","canonicalUrl":"https://jobsearcher.com/jobs/b2de2941d65c35cdcc778ce3","title":"Data Engineering Intern","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.\nThe Data Engineer Intern will be part of the Data Engineering Team. The Data Engineering team works very closely with all aspects of applications and data pipelines. We are looking for a Data Engineer Intern to assist in design, development, and optimizing the flow of data throughout the organization, enabling end user to provide valuable insights of data across Copart. In this role, your work will broadly influence the company's data consumers, executives and analysts.\nKey Responsibilities\nDesign and build the next generation data platform\nDevelop and automate data processing systems to deliver data insights at an enterprise scale.\nDevelop logging, metrics, and alerts that enable active monitoring of designed processes.\nCollaborate with Product Managers and Application teams to develop data models and schemas that help provide easy access to complex data sets.\nAssist in maintaining data integrity in production systems\nAbility to balance and prioritize multiple conflicting requirements with high attention to detail.\nQualifications Requirements\nBachelor's degree or higher in computer science, Engineering or similar\n1+ years of experience designing, developing, testing and implementing scalable, high-performing data warehouse and BI solutions\nGood hands-on Experience on real-time data pipelines including Kinesis and Kafka , understanding of Database architecture including MPP and ad-hoc analysis using BI/Analytical tools like Tableau, Pentaho, OBIEE or Power BI\nProven ability to analyze complex business problems using data and translate them into actionable insights stemming from data analysis\nExperience with ETL and Data Blending and Transformation tools such as Pentaho Data Integrator, Talend Data Integration, Informatica\nEnterprise development knowledge and/or experience with databases such as SQL Server, Oracle, MySQL and Columnar databases like Vertica, Snowflake , MemSQL , Netezza , Redshift\nGood understanding of technology and industry and able to make decisions on the best technology for integrated solutions\nProven ability to communicate with business and technical audiences at all levels, including demonstrated success influencing senior leaders and decision makers\nTechnical Skill Required: SQL, Python. BI/Analytical Tool Preferred: Tableau, Pentaho, PowerBI\n#LI-MS1\n\n#LI-MS1\nAt 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.\nE-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:\nE-verify Participation\nRight to Work","company":"Copartinc","rawCompany":"copartinc","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-05T16:12:52.646Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineering Intern","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.\nThe Data Engineer Intern will be part of the Data Engineering Team. The Data Engineering team works very closely with all aspects of applications and data pipelines. We are looking for a Data Engineer Intern to assist in design, development, and optimizing the flow of data throughout the organization, enabling end user to provide valuable insights of data across Copart. In this role, your work will broadly influence the company's data consumers, executives and analysts.\nKey Responsibilities\nDesign and build the next generation data platform\nDevelop and automate data processing systems to deliver data insights at an enterprise scale.\nDevelop logging, metrics, and alerts that enable active monitoring of designed processes.\nCollaborate with Product Managers and Application teams to develop data models and schemas that help provide easy access to complex data sets.\nAssist in maintaining data integrity in production systems\nAbility to balance and prioritize multiple conflicting requirements with high attention to detail.\nQualifications Requirements\nBachelor's degree or higher in computer science, Engineering or similar\n1+ years of experience designing, developing, testing and implementing scalable, high-performing data warehouse and BI solutions\nGood hands-on Experience on real-time data pipelines including Kinesis and Kafka , understanding of Database architecture including MPP and ad-hoc analysis using BI/Analytical tools like Tableau, Pentaho, OBIEE or Power BI\nProven ability to analyze complex business problems using data and translate them into actionable insights stemming from data analysis\nExperience with ETL and Data Blending and Transformation tools such as Pentaho Data Integrator, Talend Data Integration, Informatica\nEnterprise development knowledge and/or experience with databases such as SQL Server, Oracle, MySQL and Columnar databases like Vertica, Snowflake , MemSQL , Netezza , Redshift\nGood understanding of technology and industry and able to make decisions on the best technology for integrated solutions\nProven ability to communicate with business and technical audiences at all levels, including demonstrated success influencing senior leaders and decision makers\nTechnical Skill Required: SQL, Python. BI/Analytical Tool Preferred: Tableau, Pentaho, PowerBI\n#LI-MS1\n\n#LI-MS1\nAt 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.\nE-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:\nE-verify Participation\nRight to Work","datePosted":"2026-08-05T16:12:52.646Z","dateModified":"2026-08-05T16:12:52.646Z","hiringOrganization":{"@type":"Organization","name":"Copartinc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b2de2941d65c35cdcc778ce3"},"url":"https://jobsearcher.com/jobs/b2de2941d65c35cdcc778ce3"}}