Looking to gain real-world experience in data engineering while working with one of the world’s leading online vehicle auction companies? Copart is seeking a Data Engineer Intern in Dallas, Texas, offering an excellent opportunity to work alongside experienced data professionals on large-scale data platforms and analytics projects. This internship provides hands-on exposure to modern data engineering tools, cloud technologies, and enterprise data pipelines while earning $25–$35 per hour. If you’re passionate about data, programming, and solving complex technical challenges, this internship is an excellent way to kick-start your career.
Job Overview
| Field | Details |
|---|---|
| Company Name | Copart |
| Role | Data Engineer Intern |
| Qualification | Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Software Engineering, or a related field |
| Job Location | Dallas, Texas |
| Salary | $25–$35 per hour |
| Work Type | On-site |
| Job Type | Internship |
| Job Level | Entry Level / Intern |
| Industry | Automotive Technology / Online Vehicle Auctions / Information Technology |
Job Description
The 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.
Key Responsibilities
- Design and build the next generation data platform
- Develop and automate data processing systems to deliver data insights at an enterprise scale.
- Develop logging, metrics, and alerts that enable active monitoring of designed processes.
- Collaborate with Product Managers and Application teams to develop data models and schemas that help provide easy access to complex data sets.
- Assist in maintaining data integrity in production systems
- Ability to balance and prioritize multiple conflicting requirements with high attention to detail.
Qualifications Requirements
- Bachelor’s degree or higher in computer science, Engineering or similar
- 1+ years of experience designing, developing, testing and implementing scalable, high-performing data warehouse and BI solutions
- Good 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
- Proven ability to analyze complex business problems using data and translate them into actionable insights stemming from data analysis
- Experience with ETL and Data Blending and Transformation tools such as Pentaho Data Integrator, Talend Data Integration, Informatica
- Enterprise development knowledge and/or experience with databases such as SQL Server, Oracle, MySQL and Columnar databases like Vertica, Snowflake , MemSQL , Netezza , Redshift
- Good understanding of technology and industry and able to make decisions on the best technology for integrated solutions
- Proven ability to communicate with business and technical audiences at all levels, including demonstrated success influencing senior leaders and decision makers
- Technical Skill Required: SQL, Python. BI/Analytical Tool Preferred: Tableau, Pentaho, PowerBI
Selection Process
- Application Submission
- Resume Screening
- Technical Assessment (if applicable)
- Technical Interview
- HR Interview
- Final Selection and Offer
How to Apply
- Visit the official Copart Careers website.
- Search for “Data Engineer Intern – Dallas, TX.”
- Review the job description and eligibility requirements.
- Click the Apply button.
- Create or sign in to your account.
- Complete the online application form.
- Upload your updated resume and any required documents.
- Review your application and submit it.
- Monitor your email for updates regarding the recruitment process.
