Data Engineering Intern Internships
Data engineering intern internships give university students, recent graduates, and early-career switchers hands-on project experience building and optimizing real data pipelines, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Consulting & Professional Services lead in internship volume, with Qeexo, Copart, and World Bank among the employers posting roles now.
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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.
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
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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
Data Engineering Intern Internship Market
Who's Hiring


Top Industries Hiring
- Consulting & Professional Services
Tips for Your Data Engineering Intern Internship Search
Apply in the fall for summer data engineering roles
Large employers, particularly in tech and financial services, open data engineering intern applications the fall before the summer start date. Smaller companies and co-op programs post closer to their start dates, so check listings throughout the year rather than waiting for a single window.
Build a portfolio before you apply
Hiring teams for data engineering internships want to see working code, not just a list of tools. Publish two or three complete projects on GitHub that show end-to-end pipeline work: data ingestion, transformation, and loading, with a clear README naming the tools you used, such as Python, SQL, Apache Spark, or dbt.
Use campus resources and apply directly at the same time
Career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you reach and fills gaps that campus recruiting alone misses.
Practice your technical screen out loud before interviews
Data engineering intern interviews typically include a coding screen on SQL, data structures, or Python, plus questions on pipeline design. Practice solving problems while explaining your reasoning out loud, since interviewers weigh how you think through a schema or query plan as much as whether your final answer compiles.
Target structured data engineering programs early
Many large employers run cohort-based data engineering internship programs designed to train candidates new to the field. These programs recruit on fixed timelines, often in the fall, and fill their spots before general applications open. Identify the programs that match your background and submit in the first wave.
Set your work-type filter before you start searching
On-site roles are 50% of the data engineering intern internships listed here. Decide what you can realistically commit to before sorting through listings, then filter by location and work type so you spend time on roles you can actually take rather than ones you'll need to rule out later.
Data Engineering Intern Internships: Frequently Asked Questions
How do I get a data engineering intern internship?
Lead with coursework and personal projects rather than work history, since recruiters expect limited experience at the intern level. A GitHub repository with documented ETL pipelines, SQL schemas, or data modeling work gives hiring teams something concrete to assess. Combine direct applications with campus career fairs, where data engineering recruiters often move faster for students they meet in person.
Can a data engineering intern internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it for data engineering interns is consistent delivery on real project work, available headcount on the team, and understanding when return-offer decisions are made. Perform well on assigned tasks and ask about the team's hiring plans midway through, without counting on an offer as a given.
When should I apply for data engineering intern internships?
Earlier than most expect. Large tech and finance employers recruit summer data engineering interns the preceding fall, meaning applications often open in August and September. Smaller companies and co-op programs post closer to their start dates, so openings appear year-round. Checking listings consistently rather than waiting for a single recruiting season gives you the widest window.
Are data engineering intern internships paid?
Most professional data engineering internships in the U.S. are paid. Compensation varies by company size, industry, and location. Where an employer discloses pay, the listing shows it directly so you can compare without guessing.
What should a data engineering intern internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools used and link to the code, such as a public GitHub repository with a pipeline built in Python, SQL, or a cloud service like Spark or dbt. Add relevant coursework in databases, distributed systems, or data modeling, and keep the whole document to one page.
Are there remote data engineering intern internships?
Yes. Remote and hybrid roles make up 50% of the data engineering intern internship listings here, with the rest on-site. Remote cohorts fill fast because the applicant pool is nationwide, so apply early and filter by work type to see them before they close.
Can international students get data engineering intern internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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