ZipRecruiter

Log In

1

Data Infrastructure Internship Jobs in Houston, TX

Vortexa

Graduate Solutions Architect

Houston, TX ยท On-site

$60.25 - $79.25/hr

... data infrastructure, identifying internal champions, and defining what a successful proof of ... internships and co-ops considered). * Proficiency in Python; familiarity with SQL and/or R is a ...

Vortexa

Graduate Solutions Architect

Houston, TX ยท On-site

$60.25 - $79.25/hr

... data infrastructure, identifying internal champions, and defining what a successful proof of ... internships and co-ops considered). * Proficiency in Python; familiarity with SQL and/or R is a ...

Vortexa

Graduate Solutions Architect

Houston, TX ยท On-site

$60.25 - $79.25/hr

... data infrastructure, identifying internal champions, and defining what a successful proof of ... internships and co-ops considered). * Proficiency in Python; familiarity with SQL and/or R is a ...

next page

Showing results 1-20

All JobsData Infrastructure JobsData Infrastructure Internship JobsData Infrastructure Internship Jobs in Houston, TX

Data Infrastructure Internship information

See Houston, TX salary details

$11

$21

$40

How much do data infrastructure internship jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data infrastructure internship in Houston, TX is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.41 per hour, depending on experience, location, and employer.

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

AspectData Infrastructure InternshipData Engineer
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields; often requires professional experience
Work EnvironmentInternship setting, often in tech companies or data-driven organizations, with mentorshipFull-time professional role, involved in designing, building, and maintaining data systems
Employer & Industry UsageUsed by companies hiring interns to support data infrastructure projectsUsed by organizations to develop scalable data pipelines and infrastructure

The Data Infrastructure Internship is an entry-level position aimed at students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for developing and maintaining data systems. Internships provide foundational exposure, while Data Engineers handle complex, ongoing data infrastructure tasks.

What are the most commonly searched types of Data Infrastructure jobs in Houston, TX?

The most popular types of Data Infrastructure jobs in Houston, TX are:

What are popular job titles related to Data Infrastructure Internship jobs in Houston, TX?

For Data Infrastructure Internship jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Data Infrastructure Internship jobs in Houston, TX look for?

The top searched job categories for Data Infrastructure Internship jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Infrastructure Internship jobs?

Cities near Houston, TX with the most Data Infrastructure Internship job openings:

Data Infrastructure Internship jobs near you
Infographic showing various Data Infrastructure Internship job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $44,701 per year, or $21.5 per hour.

Data Engineering Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

$109K - $131K/yr

Full-time

Re-posted 11 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.

Apply