Data Engineering Intern Jobs
Data Engineering Intern jobs are open across technology, finance, healthcare, and retail, from undergraduate through graduate level, with specializations in data pipeline development, cloud infrastructure, and ETL workflows. Find a role that fits from the openings below and apply directly.
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Find Data Engineering Intern JobsData Engineering Intern Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- TikTok88
- ByteDance40
- Microsoft27
- NVIDIA17
- PlusAI14
Top Industries Hiring
- Technology & Software200
- Electronics & Hardware49
- Artificial Intelligence43
- Science & Research31
- Consulting & Professional Services24
What Employers Look For
The qualifications that appear most often in data engineering intern jobs.
- Proficiency in Python or Scala for data transformation and pipeline development
- Hands-on experience with SQL and relational or columnar database systems
- Familiarity with at least one cloud platform such as AWS, GCP, or Azure
- Exposure to workflow orchestration tools like Apache Airflow or Prefect
- Understanding of ETL or ELT concepts and batch or streaming data patterns
- Currently enrolled in a bachelor's or master's degree program in computer science, data science, or a related field
Tips for Your Data Engineering Intern Job Search
Tailor your resume to pipeline tools
List every data pipeline tool you've touched, Apache Spark, Airflow, dbt, Kafka, because hiring managers scan for exact tool names. Generic phrases like 'data processing experience' won't pass an automated screen that expects specific stack keywords.
Build a portfolio with real datasets
Public datasets from government sources or Kaggle let you build end-to-end pipeline projects you can show directly in applications. A working GitHub repo that ingests, transforms, and loads data signals readiness better than coursework descriptions alone.
Filter openings by cloud platform first
Most data engineering intern roles anchor to one cloud, AWS, GCP, or Azure. Searching by the platform your experience matches cuts down noise and puts you in front of teams whose stack you can hit the ground running on.
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.
Prepare for a SQL and Python screen
Nearly every data engineering intern interview opens with a technical screen heavy on SQL window functions and Python scripting. Practice writing queries that aggregate and join large tables under time pressure, because whiteboard-style problems favor speed over polish.
Ask about data volume and team structure
During interviews, ask how many pipelines the team maintains and how intern contributions get code-reviewed. Teams with structured review processes give you faster feedback loops, and the answer reveals whether you'll be building real systems or running ad hoc scripts.
Data Engineering Intern Jobs: Frequently Asked Questions
Which companies are hiring the most data engineering interns?
The companies hiring the most data engineering interns right now include TikTok, ByteDance, and Microsoft, with the largest share of openings in California, Washington, and New York, based on current listings on Migrate Mate as of June 2026. Technology and financial services firms consistently post the highest volume of data engineering intern roles across the United States.
How many data engineering intern jobs are remote?
About 16% of data engineering intern openings are fully remote or hybrid as of June 2026, making it one of the more flexible internship categories in tech. Roles focused on cloud infrastructure, pipeline automation, and analytics engineering tend to carry the highest share of remote and hybrid arrangements compared to those requiring on-site data center access.
How do you become a data engineering intern?
Start by building proficiency in SQL and Python through coursework or self-study projects, then learn at least one cloud platform and a pipeline orchestration tool like Apache Airflow. Construct a portfolio of end-to-end pipeline projects using public datasets, push them to GitHub, and apply to internship postings that match your current stack. Prioritize roles where the job description names tools you already know.
Can you get a data engineering internship with little experience?
Yes, many data engineering intern roles are designed for candidates with limited professional experience, provided you can demonstrate core technical skills. Build two or three pipeline projects using free cloud tiers and open datasets, document them clearly on GitHub, and target smaller companies or startups where interns are more likely to work across the full stack from day one rather than a narrow slice of a large system.
What does the data engineering intern interview process look like?
Most data engineering intern interview processes include an initial recruiter screen, a take-home or live coding assessment focused on SQL and Python, and one or two technical rounds where you walk through a pipeline design or debug a data transformation. Some teams add a system design conversation covering topics like schema choices or handling late-arriving data. Final rounds typically involve a brief conversation with the hiring manager about your projects and team fit.
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. Find roles that match your stack and experience level from the listings on this page and apply directly to each one that fits.
See All 519+ Data Engineering Intern Jobs
Jump back to the full list of openings and apply to any data engineering intern role that fits.
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