Data Engineer Intern Jobs
Data Engineer Intern jobs are open across tech, fintech, healthtech, and enterprise software, at every level from first-year undergrad to graduating senior, with specializations in data pipeline development, cloud infrastructure, and analytics engineering. Find a role that fits below and apply directly.
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About Firework
Join Firework – Where Innovation Meets Impact
Firework is redefining the future of commerce as an AI and video commerce company — combining cutting-edge technology, an exclusive network of enterprise brands and retailers, and a first-mover position to win the agentic commerce race.
We've built the world's most advanced and largest video commerce platform, trusted by global brands and leading retailers. But we're more than software — our compounding network effect grows stronger with every partner we add, bringing the energy of in-store experiences online and transforming how businesses engage, convert, and build lasting customer relationships at scale.
Having raised over $235M to date, led by investors such as SoftBank Vision Fund 2, and operating at global scale, we offer unparalleled opportunities to solve complex challenges and drive meaningful impact in the future of connected commerce.
If you're curious, ambitious, and energized by big ideas — Firework is the place to grow, lead, and shape what comes next. Together.
Summary
We are seeking a motivated and curious Data Engineer Intern to join our engineering team and gain hands-on experience building and maintaining data infrastructure. In this role, you will work alongside experienced engineers to support the development of data pipelines, data processing systems, and analytics tools that power business intelligence, product development, and data-driven decision-making across the organization.
The ideal candidate has a strong foundation in programming and data concepts, enjoys solving technical challenges, and is eager to learn about modern data engineering technologies and best practices.
This internship offers an opportunity to work on meaningful projects, gain exposure to real-world data systems, and develop technical skills in a collaborative, fast-paced environment.
What you'll be doing
Assist in designing, developing, and maintaining data pipelines and infrastructure that support analytics, business intelligence, and machine learning applications
Support the development of ETL/ELT processes to collect, transform, and organize data from various sources
Write and optimize SQL queries and Python scripts to support data processing, reporting, and analysis
Collaborate with data engineers, software engineers, and analytics teams to improve data accessibility, quality, and reliability
Help build and maintain data tools and dashboards that provide actionable insights into business and product performance
Gain hands-on experience with cloud-based data infrastructure, data warehouses, and modern data processing technologies
Assist in troubleshooting data pipeline issues, identifying performance improvements, and implementing solutions with guidance from senior engineers
Participate in code reviews, technical discussions, and team meetings while learning engineering best practices
Document data processes, workflows, and technical solutions to support ongoing development and knowledge sharing
We'll be excited if you have
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field
Foundational knowledge of Python and SQL, including experience writing queries, manipulating data, or developing scripts through coursework, projects, or internships
Basic understanding of databases, data structures, and data processing concepts
Familiarity with ETL/ELT processes, data pipelines, or data warehousing concepts
Interest in learning modern AI and data technologies such as Claude, Snowflake, BigQuery, Apache Spark, Flink, or Apache Airflow
Strong analytical and problem-solving skills, with attention to detail and a willingness to learn
Good communication and collaboration skills, with the ability to work effectively in a team environment
A proactive attitude, intellectual curiosity, and enthusiasm for working with data and emerging technologies
Previous technical projects, relevant coursework, or internship experience in data engineering, software development, or analytics is a plus, but not required
Location
The role is on-site and we are looking for candidates in the Bay Area who can go to the San Mateo office.
Compensation
The following represents the expected range of compensation for this role: The estimated pay range for this role is $20-$25 per hour.
The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity. Candidates may receive more information from the talent partner.
Don’t hold back
We understand some candidates may see the above and not apply because they don’t meet all the qualifications. We encourage you to apply anyway; we often find talented candidates that fit many other opportunities we have and look for potential too, not just what you did in the past. As an equal employment opportunity employer, we are a diverse team that strives for an inclusive environment for all. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, age, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
Data Engineer Intern Jobs by Experience Level
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Find Data Engineer Intern JobsData Engineer Intern Job Market
Who's Hiring
- TikTok14

- ByteDance7

- Meta3

- The Hartford2

- CNH Industrial2

Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in data engineer intern jobs.
- Proficiency in Python and SQL for data extraction, transformation, and loading
- Familiarity with at least one cloud platform such as AWS, GCP, or Azure
- Experience building or working with data pipelines using tools like Apache Airflow or dbt
- Coursework or project experience with distributed computing frameworks such as Apache Spark
- Exposure to a columnar data warehouse such as Snowflake, BigQuery, or Redshift
- Currently enrolled in a bachelor's or master's program in computer science, data engineering, or a related field
Tips for Your Data Engineer Intern Job Search
Tailor your resume to pipeline tools
Recruiters scanning data engineer intern applications look for hands-on tool experience, not just coursework. Name the specific frameworks you have used, such as Apache Spark, Airflow, or dbt, and describe the data volume or context you worked with.
Build a portfolio with real datasets
A GitHub project that ingests, transforms, and loads a public dataset tells hiring managers more than a GPA does. Include a README that explains your design decisions and any trade-offs you made between latency, cost, and scalability.
Filter openings by tech stack before applying
Many data engineer intern postings list a primary cloud platform, such as AWS, GCP, or Azure, and a specific warehouse like Snowflake or BigQuery. Prioritize roles where your hands-on experience already matches at least one anchor technology in the listing.
Apply early to roles that fit
Migrate Mate lists data engineer 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 coding screen
Most data engineer intern interviews include a timed technical screen focused on SQL window functions, joins, and Python data manipulation. Practice writing queries that aggregate and transform messy data under time pressure, not just clean textbook examples.
Follow up with a technical detail after interviews
After a technical interview, send a brief follow-up that references one specific problem you discussed and adds a note on how you would approach it differently. It signals genuine interest and keeps your name tied to a concrete technical conversation.
Data Engineer Intern Jobs: Frequently Asked Questions
Which companies are hiring the most data engineer interns?
The most active employers for data engineer interns right now are TikTok, ByteDance, and Meta, and the most openings are in California, Washington, and Georgia, based on current listings on Migrate Mate as of November 2026. Demand is strongest at companies running large-scale data products where interns contribute directly to production pipelines.
How many data engineer intern jobs are remote?
About 26% of data engineer intern openings are fully remote or hybrid as of November 2026, making it one of the more flexible internship categories in the tech sector. Roles focused on cloud infrastructure and analytics engineering tend to be the most remote-friendly, while positions embedded in data platform teams often require some on-site collaboration.
How do you become a data engineer intern?
Start by building proficiency in Python and SQL through coursework and personal projects that involve real data transformation tasks. Set up a cloud environment on a free tier, build at least one end-to-end pipeline, and publish it publicly so employers can review your work. Then search for openings that match your current tech stack and apply directly to each role that fits your background.
Can you get a data engineer intern role with little experience?
Yes, many companies hire data engineer interns with no professional experience if you can demonstrate hands-on technical work. A self-directed project that ingests a public dataset, runs a transformation step, and loads output into a queryable table is often enough to clear a resume screen. Focus your applications on companies that list entry-level intern roles and emphasize learning over prior industry exposure.
What does the data engineer intern interview process look like?
Most data engineer intern interview processes include a recruiter screen, a take-home or live SQL and Python coding challenge, and a technical interview covering data modeling and pipeline design. Some companies add a system design round where you walk through how you would architect a simple ingestion workflow. The full process typically runs across a few weeks from initial screen to offer.
Where can I find and apply to data engineer intern jobs?
You can find and apply to data engineer 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. No detours, no middlemen, just the listings and a direct path to applying.
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