Data Engineering Intern Jobs in Texas
Data Engineering Intern jobs in Texas are concentrated in the state's booming technology, energy, and financial services sectors, with demand at every level from undergraduate co-op through graduate-level practicum. Houston, Dallas, and Austin anchor the market, with major employers like ExxonMobil, Dell Technologies, and JPMorgan Chase offering internship rotations with real pipeline and cloud infrastructure exposure. The most sought-after specialties in Texas listings are SQL and Python-based ETL development, cloud data platforms on AWS and Azure, and real-time streaming architectures tied to energy and fintech use cases. Find a role that fits below and apply directly.
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NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for an outstanding Agentic AI intern to build groundbreaking multi-modal agentic AI Solutions for NVIDIA software stack. As a member of the team, you will develop new agentic AI solutions to accelerate software design, code generation, performance improvement, testing, and every component in SDLC. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.
What you'll be doing:
- Collaborate with internal engineering teams to identify high-impact opportunities for applying agentic AI technologies.
- Lead the design and development of agentic AI solutions that address challenges across the software development lifecycle (SDLC).
- Develop and maintain agentic AI benchmarks to evaluate performance across diverse SDLC use cases.
What we need to see:
- You are pursuing a Master or PhD in CS or related field with a focus on AI and LLM.
- Must have knowledge in agentic AI, LLMs, reinforcement learning, and/or programming languages/compilers.
- Experience with AI systems development; exposure to building foundational models, agents, or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.
- Strong C/C++ and Python programming skills.
- Outstanding problem-solving abilities and effective communication skills.
Ways to Stand Out from the Crowd
- Hands-on experience with multimodal agentic AI frameworks.
- Deep expertise in building, training, and fine-tuning foundation models.
- Experience designing, executing, and analyzing AI model evaluation and benchmarking.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until June 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for an outstanding Agentic AI intern to build groundbreaking multi-modal agentic AI Solutions for NVIDIA software stack. As a member of the team, you will develop new agentic AI solutions to accelerate software design, code generation, performance improvement, testing, and every component in SDLC. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.
What you'll be doing:
- Collaborate with internal engineering teams to identify high-impact opportunities for applying agentic AI technologies.
- Lead the design and development of agentic AI solutions that address challenges across the software development lifecycle (SDLC).
- Develop and maintain agentic AI benchmarks to evaluate performance across diverse SDLC use cases.
What we need to see:
- You are pursuing a Master or PhD in CS or related field with a focus on AI and LLM.
- Must have knowledge in agentic AI, LLMs, reinforcement learning, and/or programming languages/compilers.
- Experience with AI systems development; exposure to building foundational models, agents, or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.
- Strong C/C++ and Python programming skills.
- Outstanding problem-solving abilities and effective communication skills.
Ways to Stand Out from the Crowd
- Hands-on experience with multimodal agentic AI frameworks.
- Deep expertise in building, training, and fine-tuning foundation models.
- Experience designing, executing, and analyzing AI model evaluation and benchmarking.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until June 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
See All 15 Data Engineering Intern Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Engineering Intern JobsData Engineering Intern Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Engineering Intern Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Advantest3
- Copart2
- Affinius Capital1
- Booz Allen Hamilton1
- Citi1
Top Industries Hiring
- Technology & Software6
- Electronics & Hardware5
- Automotive2
- Investment & Asset Management2
- Banking & Financial Services1
What Texas Employers Look For
The qualifications that appear most often in data engineering intern jobs across Texas.
- Currently enrolled in a bachelor's or master's program in computer science, data science, or related field
- Proficiency in Python or SQL for data pipeline development and transformation tasks
- Hands-on coursework or project experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with big data tools such as Apache Spark, Kafka, or Hadoop in academic or personal projects
- Experience with version control systems, particularly Git, in a collaborative or academic setting
- Strong analytical communication skills to present data findings to technical and non-technical stakeholders
Data Engineering Intern Jobs in Texas: Frequently Asked Questions
How do you become a data engineering intern in Texas?
Becoming a data engineering intern in Texas starts with enrollment in a computer science, information systems, or data science degree program at a Texas university such as UT Austin, Texas A&M, or UT Dallas. Texas does not require a state-issued license for data engineering roles. Employers look for demonstrated project work with SQL, Python, and cloud platforms, so building a GitHub portfolio and completing relevant coursework in databases and distributed systems strengthens your candidacy significantly.
Which companies hire data engineering interns in Texas?
Employers hiring data engineering interns in Texas right now include Advantest, Copart, and Affinius Capital, based on current listings on Migrate Mate as of June 2026. Texas's concentration of energy majors in Houston, enterprise tech firms in Austin, and financial services companies in Dallas means internship programs here tend to involve large-scale, production-grade data infrastructure rather than purely academic exercises.
Which Texas cities have the most data engineering intern jobs?
Austin, Dallas, and Houston have the most data engineering intern openings in Texas. Houston's dominance in energy and healthcare data, Dallas's large financial services and telecommunications employer base, and Austin's rapidly growing technology startup and enterprise ecosystem together account for the majority of Texas postings, while suburban corridors like The Woodlands and Plano attract significant overflow from anchoring headquarters in each metro.
Are there remote data engineering intern jobs in Texas?
Yes, and more than most fields, since data engineering work centers on coding, cloud infrastructure, and pipeline management rather than on-site physical tasks. About 20% of data engineering intern openings tied to Texas are remote or hybrid as of June 2026, reflecting the desk-based nature of the role. The portions of the work most commonly performed remotely include pipeline development, data modeling, and cloud platform configuration, while on-site time typically involves team stand-ups and stakeholder collaboration.
How can I get hired as a data engineering intern in Texas with little or no experience?
The most realistic entry path is applying to structured internship cohort programs that Texas employers run for students with limited professional backgrounds, such as the technology analyst rotations at large Houston energy companies or the engineering intern tracks at major Dallas-based financial institutions. Building two or three end-to-end data pipeline projects on GitHub using publicly available Texas government datasets demonstrates practical ability. Adjacent roles like data analyst intern or business intelligence assistant at Texas regional companies also serve as common lateral stepping stones into data engineering tracks.
Where can I find and apply to data engineering intern jobs in Texas?
You can find and apply to data engineering intern jobs in Texas on Migrate Mate, which lists current Texas openings sourced from employers actively hiring in the state. Find roles that fit your background and apply directly to the ones that match your skills and schedule.
See All 15 Data Engineering Intern Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Engineering Intern Jobs