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Internship Data Engineer Intern Jobs in Texas (NOW HIRING)

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Data, Testing & Deployment * Build and maintain data pipelines, including preprocessing and quality ...

Sycamore Life Sciences, LLC

Be Seen First

Software Engineer Intern

Houston, TX · On-site

$15 - $18/hr

Internship About the Role Sycamore Life Sciences is seeking a motivated and curious Computer ... Contribute to automation, data processing, and workflow optimization initiatives * Research and ...

Kaizen Analytix LLC

AI Engineer Internship

Dallas, TX · On-site

$25/hr

TBA Paid-internship : $25/hr About Kaizen Kaizen Analytix is a global technology consulting firm ... data systems that support them. The intern will work under the guidance of senior engineers on real ...

New

Kaizen Analytix

AI Engineer Internship

Dallas, TX · On-site

$25/hr

TBA Paid-internship : $25/hr About Kaizen Kaizen Analytix is a global technology consulting firm ... data systems that support them. The intern will work under the guidance of senior engineers on real ...

New

Canadian Solar

IE Engineer Intern

Mesquite, TX

$15.25 - $19.75/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Job Summary: This internship offers hands-on exposure to large-scale manufacturing projects ... Perform process and data analysis Collect and analyze manufacturing data (cycle time, UPH, OEE ...

Canadian Solar

IE Engineer Intern

Mesquite, TX · On-site

$15.25 - $19.75/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Job Summary: This internship offers hands-on exposure to large-scale manufacturing projects ... Perform process and data analysis Collect and analyze manufacturing data (cycle time, UPH, OEE ...

ANS

Lab Engineer (Intern)

Alvarado, TX · On-site

$18 - $22/hr

Data Recording: Maintain comprehensive documentation of test procedures, observations, and results ... Frequent kneeling and squatting $18 - $22 an hour INTERNSHIP DURATION The internship is initially ...

Chevron

2026-2027 Petroleum Engineer Intern

Midland, TX · On-site +1

$10K/mo

  • Medical

  • Retirement

... data scientists, and/or software developers. Petroleum engineers develop technical skills in ... Interns will be provided with a mentor to provide guidance on their projects. Positions can be ...

Chevron

2026-2027 Petroleum Engineer Intern

Houston, TX · On-site +1

$10K/mo

  • Medical

  • Retirement

... data scientists, and/or software developers. Petroleum engineers develop technical skills in ... Interns will be provided with a mentor to provide guidance on their projects. Positions can be ...

Veryable, Inc.

Platform Engineer Intern

Dallas, TX · On-site

This is an unpaid internship with an opportunity to gain real world experience in a startup ... Ownership in the evolution of Veryable's data infrastructure and data warehouse architecture to ...

Citadel

Software Engineer - Intern (US)

Houston, TX · On-site

$4.5K - $5.8K/wk

... internship. Your Objectives: * Create technological tools that bring trading strategies to life ... Develop high-performance, large data research platforms * Work in small teams to build the future ...

Neuralink

Software Engineer Intern, Internal Apps

Austin, TX · On-site

$35/hr

  • Medical

  • Dental

  • Vision

  • Retirement

This data platform collects, organizes, and visualizes a diverse set of data ranging from neural ... This is a high-autonomy, high-ownership internship. You will work directly alongside engineers and ...

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All JobsData Engineer Intern JobsInternship Data Engineer Intern JobsInternship Data Engineer Intern Jobs in Texas

Internship Data Engineer Intern information

What are the key skills and qualifications needed to thrive as a data engineer intern?

To thrive as an Internship Data Engineer Intern, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by coursework or projects in computer science or data engineering. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data visualization software is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn quickly. These competencies ensure interns can contribute to data projects, adapt to new technologies, and support data-driven decision-making.

What does a data engineer intern do?

A Data Engineer Intern assists in designing, building, and maintaining the infrastructure needed to collect, store, and analyze data. They typically work with large datasets, helping to ensure data is clean, well-organized, and accessible for analytics or business needs. Interns often collaborate with data scientists and software engineers, learning key skills such as data modeling, ETL (extract, transform, load) processes, and using tools like SQL, Python, and cloud platforms. The role provides hands-on experience in building data pipelines and understanding how data drives decision-making in organizations.

What is the difference between Internship Data Engineer Intern vs Data Engineer?

AspectInternship Data Engineer InternData Engineer
Required CredentialsEnrolled in or recent graduate of a related degree (e.g., Computer Science, Data Science)Bachelor's or higher in Computer Science, Data Engineering, or related field; often requires experience or certifications
Work EnvironmentInternship setting, supervised, part-time or full-time during studiesFull-time professional role, often in a team managing data pipelines and infrastructure
Employer & Industry UsageUsed by tech companies, startups, and organizations offering training opportunitiesUsed across industries like tech, finance, healthcare, and more for data management and analytics

The Internship Data Engineer Intern position is an entry-level, temporary role designed for students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for building and maintaining data systems. The internship provides foundational exposure, while the Data Engineer role involves ongoing, complex data infrastructure work.

What types of projects and technologies can I expect to work with as a data engineer intern?

As a Data Engineer Intern, you can expect to work on projects involving the development, testing, and maintenance of data pipelines and databases. You'll likely use technologies such as SQL, Python, and cloud platforms like AWS or Azure, depending on the company's stack. Interns often assist with data cleaning, integration, and transforming raw data into usable formats for analytics teams. Collaboration with data scientists, analysts, and senior engineers is common, providing valuable exposure to real-world workflows and teamwork in a data-driven environment.

What are popular job titles related to Internship Data Engineer Intern jobs in Texas?

For Internship Data Engineer Intern jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Internship Data Engineer Intern jobs in Texas look for?

The top searched job categories for Internship Data Engineer Intern jobs in Texas are:

What cities in Texas are hiring for Internship Data Engineer Intern jobs?

Cities in Texas with the most Internship Data Engineer Intern job openings:

Internship Data Engineer Intern jobs near you
Infographic showing various Internship Data Engineer Intern job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Re-posted 20 days ago

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
Location: Plano, Texas, USA
Internship Duration: 6-12 months (12 months preferred)
Company: Black Box
Eligibility: Master's students with at least 6 months remaining before graduation and prior professional experience in applied AI
Company Overview
Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services.
This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.
Eligibility Requirements
  • Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar).
  • Must have at least 6 months remaining to complete the Master's program at the time of joining.
  • Must have a minimum of 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases.
  • Available for a full-time, on-site internship for a minimum of 6-12 months (depending on academic program constraints).
Key Responsibilities
AI & Generative AI Development
  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.
  • Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
  • Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.
Full-Stack & Enterprise Integration
  • Build AI-enabled user interfaces and integrate them with backend services.
  • Develop and maintain backend APIs and services.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.
Data, Testing & Deployment
  • Build and maintain data pipelines, including preprocessing and quality checks.
  • Support testing, debugging, deployment, and monitoring of AI services on Azure.
  • Document AI workflows, integrations, and solution lifecycle updates.
Learning & Collaboration
  • Collaborate with AI, data, and platform teams to deliver production-ready AI solutions.
  • Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems.
Required Technical Skills
  • Programming: Strong working knowledge of Python.
  • Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
  • Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
  • Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
  • Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
  • Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
  • APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).
Required Prior Professional Experience
  • 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Ability to translate AI concepts into working prototypes or production-ready solutions.
Required Soft Skills
  • Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.
Preferred Skills / Experience
  • Familiarity with NLP concepts and foundational Generative AI models.
  • Awareness of responsible AI and basic AI governance concepts.
  • Exposure to Microsoft Power Platform or low-code automation tools.
About Black Box
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks.
Black Box is an equal opportunity employer.

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