Data Engineering Intern Jobs
Data engineering intern jobs are open across fintech, healthtech, e-commerce, and enterprise software, from pre-junior to returning-student level, with specializations in pipeline development, data warehouse engineering, and real-time stream processing. Scan the live roles below and apply to whichever ones fit.
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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
#LI-MS1
#LI-MS1
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
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
#LI-MS1
#LI-MS1
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 Jobs by Experience Level
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Find Data Engineering Intern JobsData Engineering Intern Job Market
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in data engineering intern jobs.
- Proficiency in Python or Scala for data processing and scripting tasks
- Hands-on experience with SQL, including joins, aggregations, and window functions
- Familiarity with at least one cloud platform such as AWS, GCP, or Azure
- Exposure to data pipeline or workflow orchestration tools like Apache Airflow or dbt
- Currently enrolled in a bachelor's or master's program in computer science, data science, or a related field
- Understanding of distributed data systems and basic data modeling concepts
Tips for Your Data Engineering Intern Job Search
Tailor your resume to the stack
Recruiters screening data engineering intern resumes look for specific tools, not just 'data experience.' List the exact technologies you've used, such as Apache Spark, dbt, Airflow, or Snowflake, and match them to the stack named in each job posting before you apply.
Show a pipeline project in your portfolio
A single end-to-end project, even a small one, outperforms a long list of coursework. Build a public repo that ingests raw data, transforms it, and loads it somewhere queryable. Hiring managers for intern roles want proof you can connect the pieces.
Apply early to roles that fit
Migrate Mate lists data engineering intern openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target teams, not just company names
A data engineering intern role at a large company's growth analytics team is very different from one on its infrastructure platform team. Read the job description for the team's actual output, not just the company brand, so your cover note speaks to what they actually build.
Prepare for a SQL and coding screen
Most data engineering intern interviews include a live or take-home coding round focused on SQL window functions, Python data manipulation, or both. Practice writing queries that clean messy datasets and joining tables with non-obvious keys, not just basic SELECT statements.
Follow up with a specific technical detail
After your final interview round, send a follow-up that references one technical problem you discussed and how you thought through it. This reinforces your engineering instincts and keeps you memorable in a pool of candidates who send identical thank-you notes.
Data Engineering Intern Jobs: Frequently Asked Questions
Which companies are hiring the most data engineering interns?
Qeexo, Copart, and World Bank are hiring the most data engineering interns right now, with openings concentrated in Texas, California, and Mississippi, based on current listings on Migrate Mate as of August 2026. Demand is particularly high at companies scaling their cloud data infrastructure or building out self-serve analytics platforms.
How many data engineering intern jobs are remote?
About 50% of data engineering intern openings are fully remote or hybrid as of August 2026, with remote options most common in roles focused on cloud pipeline development and analytics engineering rather than on-premise infrastructure or data center work. Hybrid arrangements tend to dominate at larger enterprise employers.
How do you become a data engineering intern?
Start by building foundational skills in SQL, Python, and at least one cloud platform. Build a project that demonstrates a complete data pipeline, from ingestion through transformation to a queryable output. Apply to roles that match your current stack, and be ready to explain your design decisions during a technical screen.
Can you get a data engineering intern role with no prior work experience?
Yes, many data engineering intern roles are designed for candidates with academic projects rather than professional work history. Employers focus on your ability to write clean SQL, manipulate data with Python, and explain your reasoning. A well-documented GitHub project that ingests and transforms a real dataset can substitute for a prior internship on your resume.
What does the data engineering intern interview process look like?
Most processes include a recruiter screen, a technical assessment covering SQL and Python, and a final round with the engineering team. The technical round often involves writing queries on a sample dataset or walking through a past project. Some teams add a system design question asking how you would architect a simple data pipeline.
Where can I find and apply to data engineering intern jobs?
You can find and apply to data engineering intern jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your skills and location preferences, then apply directly to each one that fits.
See All 7 Data Engineering Intern Jobs
Find roles that match your experience and apply in just a few clicks.
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