Data Engineer Intern Jobs in USA with Visa Sponsorship
Data Engineer Intern roles are among the more accessible sponsored positions for international students on F-1 OPT, with employers regularly filing H-1B visa petitions for strong interns. Most roles require a STEM degree, making you eligible for the 24-month OPT extension. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsSUMMARY
This part-time summer internship offers undergraduate and graduate students the opportunity to work on meaningful, real-world projects while building practical experience in their field of study. If you’re eager to use your talents and creativity to help young learners build a strong foundation for academic success, this program provides a unique opportunity to do just that.
This internship will have a strong emphasis on leveraging AI to enhance data workflows and team productivity. You’ll explore how modern AI tools (e.g., LLMs, Cursor, Claude Code, automation frameworks) can accelerate development, improve data quality, and streamline analytics processes. In this role, you'll work closely with data engineers, analysts, and stakeholders across the business to build, optimize, and maintain the data pipelines and models that power insights and decision-making.
You’ll gain hands-on experience with real-world data engineering workflows and the modern data stack, while also building AI-powered tools from scratch. This is a great opportunity for someone who enjoys creating things, experimenting quickly, and applying AI in practical, impactful ways.
Responsibilities:
- Design, build, and prototype AI-powered tools from scratch to improve data engineering and analytics workflows (e.g., dbt development, query generation, documentation, testing, monitoring)
- Experiment with and evaluate AI/LLM-based approaches to accelerate development, improve data quality, and reduce manual effort
- Identify opportunities to create new internal tools or automations that enhance team productivity, and take them from idea prototype iteration
- Collaborate with data engineers, analysts, and stakeholders to turn ambiguous problems into practical, working solutions
- Support the development, optimization, and maintenance of end-to-end data workflows—including pipelines, data models, and transformations—while ensuring data quality, reliability, and clear documentation
MINIMUM QUALIFICATIONS:
- Currently pursuing a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from an accredited university
- Must be available at least 25 hours per week for 10 weeks during the summer internship program
- Must be able to work in a hybrid environment, with the ability to work in person at our Glendale, CA headquarters a minimum of two days per week
- Strong SQL skills and basic understanding of data modeling concepts
- Some experience with Python or another scripting language
- Interest in AI/ML tools and a curiosity for applying AI to real-world problems
- Interest in modern data stack tools like dbt, Airflow, Snowflake, or similar (hands-on experience a plus)
- Strong analytical and problem-solving skills
- Detail-oriented, curious, and eager to learn
PREFERRED QUALIFICATIONS:
- Exposure to cloud platforms (AWS, GCP, or Azure)
- Experience with AI IDE (Cursor, Claude Code, Codex)
- Hands-on experience with AI tools and LLM APIs (e.g., OpenAI, LangChain, etc.)
- Experience building small tools, side projects, or automations (data or AI-related a plus)
- Builder mindset: enjoys creating, experimenting, and iterating on ideas
TOTAL COMPENSATION:
The estimated hourly range for this position is $22.00 to $27.00 USD. Pay may vary depending on job-related factors, including knowledge, skills, experience, and location.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
SUMMARY
This part-time summer internship offers undergraduate and graduate students the opportunity to work on meaningful, real-world projects while building practical experience in their field of study. If you’re eager to use your talents and creativity to help young learners build a strong foundation for academic success, this program provides a unique opportunity to do just that.
This internship will have a strong emphasis on leveraging AI to enhance data workflows and team productivity. You’ll explore how modern AI tools (e.g., LLMs, Cursor, Claude Code, automation frameworks) can accelerate development, improve data quality, and streamline analytics processes. In this role, you'll work closely with data engineers, analysts, and stakeholders across the business to build, optimize, and maintain the data pipelines and models that power insights and decision-making.
You’ll gain hands-on experience with real-world data engineering workflows and the modern data stack, while also building AI-powered tools from scratch. This is a great opportunity for someone who enjoys creating things, experimenting quickly, and applying AI in practical, impactful ways.
Responsibilities:
- Design, build, and prototype AI-powered tools from scratch to improve data engineering and analytics workflows (e.g., dbt development, query generation, documentation, testing, monitoring)
- Experiment with and evaluate AI/LLM-based approaches to accelerate development, improve data quality, and reduce manual effort
- Identify opportunities to create new internal tools or automations that enhance team productivity, and take them from idea prototype iteration
- Collaborate with data engineers, analysts, and stakeholders to turn ambiguous problems into practical, working solutions
- Support the development, optimization, and maintenance of end-to-end data workflows—including pipelines, data models, and transformations—while ensuring data quality, reliability, and clear documentation
MINIMUM QUALIFICATIONS:
- Currently pursuing a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from an accredited university
- Must be available at least 25 hours per week for 10 weeks during the summer internship program
- Must be able to work in a hybrid environment, with the ability to work in person at our Glendale, CA headquarters a minimum of two days per week
- Strong SQL skills and basic understanding of data modeling concepts
- Some experience with Python or another scripting language
- Interest in AI/ML tools and a curiosity for applying AI to real-world problems
- Interest in modern data stack tools like dbt, Airflow, Snowflake, or similar (hands-on experience a plus)
- Strong analytical and problem-solving skills
- Detail-oriented, curious, and eager to learn
PREFERRED QUALIFICATIONS:
- Exposure to cloud platforms (AWS, GCP, or Azure)
- Experience with AI IDE (Cursor, Claude Code, Codex)
- Hands-on experience with AI tools and LLM APIs (e.g., OpenAI, LangChain, etc.)
- Experience building small tools, side projects, or automations (data or AI-related a plus)
- Builder mindset: enjoys creating, experimenting, and iterating on ideas
TOTAL COMPENSATION:
The estimated hourly range for this position is $22.00 to $27.00 USD. Pay may vary depending on job-related factors, including knowledge, skills, experience, and location.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See all 238+ Data Engineer Intern jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Engineer Intern
Ask about conversion rates, not just sponsorship policy
Many tech employers sponsor broadly but convert only a fraction of interns to full-time. Ask directly: how many interns from last year received return offers and eventually H-1B sponsorship? That number matters more than a general policy statement.
Highlight cloud and pipeline skills in your application
Employers filing H-1B for Data Engineer Interns need to justify a specialty occupation. Roles with specific technical requirements like Spark, Airflow, or cloud infrastructure are easier to sponsor than vague generalist internships.
Look for employers with a history of H-1B filings
Companies that have sponsored Data Engineer roles before understand the process and are less likely to back out. DOL disclosure data shows which employers file regularly for this job title, which is a strong proxy for sponsorship willingness.
Data Engineer Intern jobs are hiring across the US. Find yours.
Find Data Engineer Intern JobsFrequently Asked Questions
Can a company sponsor an H-1B for a Data Engineer Intern?
Yes, though most H-1B sponsorship happens at the full-time conversion stage rather than during the internship itself. Employers typically sponsor after extending a return offer. Some larger tech companies do sponsor interns directly if the role is substantial and the student is near graduation, but that's less common.
Does a Data Engineer Intern role qualify as a specialty occupation for H-1B purposes?
It generally does when the role requires a degree in computer science, information systems, or a closely related field and involves work like building data pipelines, managing cloud infrastructure, or writing production-level code. Vague internship descriptions that don't specify technical requirements can draw an RFE, so the job duties need to be clearly documented.
What degree do I need to get sponsored for a Data Engineer Intern role?
Most employers require a bachelor's or master's in computer science, data science, information systems, or a related STEM field. A STEM degree also matters for OPT purposes: it unlocks the 24-month extension, giving you three years total to work and clear the H-1B lottery before needing a different visa.
Where can I find Data Engineer Intern jobs that sponsor visas?
Migrate Mate is built specifically for international candidates and filters for employers open to sponsorship, so you're not wasting applications on companies that won't file. Searching there lets you focus on roles where sponsorship is already a realistic outcome rather than something you have to negotiate from scratch.
What are my options if I don't win the H-1B lottery after my internship converts to full-time?
You have a few paths: reenter the lottery the following year if your OPT or Cap-Gap covers the gap, transfer to an L-1 if you work for a multinational with overseas offices, explore the O-1A if your work is exceptional, or consider the E-3 if you hold Australian citizenship. Some candidates also pursue a master's degree to reset their OPT clock.
What is the prevailing wage requirement for sponsored Data Engineer Intern jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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