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Technical Internship Jobs in Texas (NOW HIRING)

Provide technical assistance to families, law-enforcement and social-service agencies and courts ... Internships are unpaid, however Interns will have the opportunity to acquire knowledge and hands-on ...

Technical writing experience through coursework or previous internships. * Familiarity with OSHA safety concepts. * Experience creating flowcharts or process maps. * Basic understanding of ...

Technical writing experience through coursework or previous internships. * Familiarity with OSHA safety concepts. * Experience creating flowcharts or process maps. * Basic understanding of ...

Summer 2026 Accounting Internship

Midland, TX · On-site

$15.75 - $20/hr

Each intern will be paired with a manager and mentor who will provide technical guidance throughout the internship. Along with their projects, interns will take part in a multitude of activities such ...

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Technical Internship information

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$8

$16

$23

How much do technical internship jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for technical internship in Texas is $16.24, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $17.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a technical intern, and why are they important?

To thrive as a Technical Intern, you typically need a foundation in computer science or engineering principles, along with coursework or experience in relevant technical domains. Familiarity with programming languages, version control systems like Git, and basic software development tools is often required. Strong problem-solving abilities, eagerness to learn, and effective communication help interns adapt and contribute to team projects. These skills enable interns to quickly integrate, support ongoing tasks, and make a meaningful impact during their internship.

What types of projects can I expect to work on during a technical internship?

As a technical intern, you can expect to work on a variety of hands-on projects that align with your field of study, such as software development, data analysis, or hardware design. Interns often contribute to ongoing team projects, assist with troubleshooting issues, and participate in code reviews or test cycles. The scope of your work will usually be tailored to both your skills and the team's current needs, giving you exposure to real-world challenges and collaboration with experienced professionals. This experience not only builds your technical abilities but also helps you understand industry workflows and team dynamics.

What is a technical internship?

A technical internship is a temporary position offered by a company or organization that allows students or recent graduates to gain hands-on experience in technical fields such as engineering, computer science, or information technology. Interns work on real projects, often under the supervision of experienced professionals, and apply their academic knowledge to solve practical problems. These internships help individuals develop valuable skills, build professional networks, and often serve as a pathway to full-time employment.

What is the difference between Technical Internship vs Software Engineer?

AspectTechnical InternshipSoftware Engineer
Required CredentialsTypically students or recent graduates, often pursuing a degree in CS or related fieldBachelor's or higher in CS or related field, sometimes with certifications
Work EnvironmentTemporary, project-based, often in a corporate or tech company settingFull-time, ongoing employment in software development teams
Employer & Industry UsageUsed by companies for talent scouting and trainingCore role in software development and tech industries
Common Search & Comparison IntentUnderstanding entry points and training opportunitiesCareer development and job responsibilities

The main difference between a Technical Internship and a Software Engineer role is that internships are temporary, training-focused positions aimed at students or recent graduates, while Software Engineers are full-time professionals responsible for ongoing software development. Internships provide hands-on experience and industry exposure, whereas Software Engineers are integral to a company's long-term projects and growth.

What are the most commonly searched types of Technical jobs in Texas? The most popular types of Technical jobs in Texas are:
What cities in Texas are hiring for Technical Internship jobs? Cities in Texas with the most Technical Internship job openings:
Infographic showing various Technical Internship job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $33,786 per year, or $16.2 per hour.

$109K - $131K/yr

Full-time

Posted 17 days ago


Job description

Application Deadline: September 1, 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.

Responsibilities:

  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:

  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.