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Data Engineering Intern Jobs in Texas (NOW HIRING)

In this role, the intern will have the opportunity to learn and grow their analytical and ... Automate repetitive engineering tasks such as test data extraction, result parsing, yield analysis ...

ID Technology is seeking a Summer Design Engineering Intern to assist with various engineering ... Data consolidation - compile drawings, 3D models and .pdf files for sales support. * Relocate and ...

Application Engineering Intern

Richardson, TX · On-site

$15 - $19.75/hr

In this role, the intern will have the opportunity to learn and grow their analytical and ... Automate repetitive engineering tasks such as test data extraction, result parsing, yield analysis ...

V -Industrial Engineering Intern

Houston, TX

$15.75 - $20.50/hr

V- Industrial Engineering Intern About PROENERGY PROENERGY is an engineering, R amp;D, and ... Perform data analysis to support continuous improvement initiatives and measure performance ...

Chemical Engineering Intern

Houston, TX · On-site

$16 - $20.75/hr

Title: Chemical Engineering Intern Summary: KBR internships provide handson, projectbased ... Data & Reporting: Contribute to progress reporting, documentation, and performance metrics.

Engineering Intern

El Paso, TX · On-site

$13 - $16.75/hr

We are seeking a motivated and detail-oriented Engineering Intern to join our team for the summer ... Participate in data collection and analysis related to production rates, energy consumption ...

Begin Your Career in Engineering as an Engineering Intern in a Growing Company Did you love ... Data consolidation - compile drawings, 3D models and .pdf files for sales support. * Relocate and ...

Intern- Engineering

Longview, TX · On-site

$15 - $19.50/hr

The Engineering Intern position at AAON provides students with hands-on experience in a real-world ... Collect and analyze data to support engineering decisions. * Collaborate with cross-functional ...

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Data Engineering Intern information

What types of projects and technologies can a Data Engineering Intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a Data Engineering Intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

What is the difference between Data Engineering Intern vs Data Analyst Intern?

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Data Engineering Intern, and why are they important?

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.
What are the most commonly searched types of Data Engineering jobs in Texas? The most popular types of Data Engineering jobs in Texas are:
What cities in Texas are hiring for Data Engineering Intern jobs? Cities in Texas with the most Data Engineering Intern job openings:
Infographic showing various Data Engineering Intern job openings in Texas as of June 2026, with employment types broken down into 2% Internship, 48% Full Time, 15% Part Time, 7% Temporary, 26% Contract, and 2% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

AI/ML Engineer Intern, Data Engineering

Ryan, LLC

Plano, TX • On-site

Full-time

Posted 10 days ago


Job description

Why Ryan?

  • Competitively Paid Internship

  • Award-Winning Culture

  • Paid Holidays

  • Mentorship Opportunities and Hands-On Training

  • Networking with Industry Leaders

  • All-Expense-Paid Trip to Ryan Headquarters in Dallas, TX (Summer Interns Only)

The AI/ML Engineer Intern, Data Engineering will support the development and deployment of AI and machine learning solutions that improve business processes and operational efficiency. This role provides hands-on experience with AI/ML technologies, cloud platforms, data engineering pipelines, and modern software development practices.
The intern will collaborate with AI/ML engineers, data engineers, data scientists, and product teams to assist with building scalable data and AI solutions using Python, cloud services, and machine learning frameworks.

Duties and Responsibilities:

  • Assist in developing and testing AI/ML models and data pipelines.

  • Support cloud-based AI/ML deployments in Azure or AWS environments.

  • Contribute to data engineering and MLOps workflows.

  • Work with modern AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and MLFlow.

  • Participate in Agile development activities and team collaboration.

  • Support generative AI and data-driven solution initiatives.

Education and Experience:

  • Working toward a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.

  • Anticipated graduation date within one year of internship

  • Minimum Overall and Major GPA of 2.8

  • Familiarity with Python or other programming languages.

  • Basic understanding of machine learning, databases, and cloud technologies.

  • Strong analytical, communication, and problem-solving skills.

  • Exposure to AI/ML projects, Git, or cloud platforms is a plus.

Professional Skills Requirements:

  • Work effectively in a fast pace, high-energy environment.

  • Strong problem solving, attention to detail, and communication skills.

  • Ability to prioritize tasks, work on multiple assignments, and manage ambiguity.

  • Ability to work both independently and as part of a team with professionals at all levels.

  • Intermediate knowledge of all Microsoft Office applications, Outlook, and etc.

Computer Skills:

To perform this job successfully, an individual must have intermediate knowledge of Microsoft Word, Access, Excel, PowerPoint, Outlook, and Internet navigation and research.

Certificates and Licenses:

Valid driver's license required.

Supervisory Responsibilities:

This position has no supervisory responsibilities.

Equal Opportunity Employer: disability/veteran