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Internship Data Jobs in Houston, TX (NOW HIRING)

Guidehouse

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. * Exposure to Databricks, Spark, or large-scale data processing ...

Guidehouse

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. * Exposure to Databricks, Spark, or large-scale data processing ...

Guidehouse

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. * Basic understanding of relational databases and data querying concepts.

Guidehouse

Public Health Data Engineer

Houston, TX · On-site

$70K - $116K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. * Exposure to Databricks, Spark, or large-scale data processing ...

INEOS

Financial Analyst - Internship

League City, TX · On-site

$15.25 - $20/hr

This is an exciting internship opportunity in our Finance and Accounting department. The position ... The candidate should be skilled in the use of excel spreadsheets, data processing, and Microsoft ...

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Internship Data information

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How much do internship data jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for internship data 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 an internship data role?

Internship data roles are entry-level positions designed for students or recent graduates to gain practical experience in data-related fields. These internships typically involve tasks such as data collection, cleaning, analysis, and visualization under the supervision of experienced data professionals. Interns may work with databases, statistical software, or programming languages like Python or R, and assist in projects that support business decision-making. The goal is to help interns build foundational skills and industry knowledge to prepare them for full-time data careers.

What types of projects does a data intern typically work on during their internship?

Data interns often support teams by working on real-world projects such as data cleaning, organizing large datasets, and assisting in data analysis using tools like Excel, Python, or SQL. They may also help visualize data findings, prepare reports, and participate in cross-functional meetings to understand business needs. These tasks provide valuable exposure to the data lifecycle and help interns develop practical technical and communication skills vital for a future career in data roles.

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

To thrive as a Data Intern, you generally need a background in statistics, mathematics, or computer science, along with proficiency in data analysis and problem-solving. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often required. Strong attention to detail, eagerness to learn, and effective communication skills help interns collaborate with teams and present findings clearly. These skills are essential for accurately analyzing data, contributing to projects, and gaining valuable experience in a real-world data environment.

What is the difference between Internship Data vs Data Analyst?

AspectInternship DataData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's degree in related field, some roles prefer certifications
Work EnvironmentTemporary, learning-focused, entry-level tasksFull-time, ongoing projects, more responsibility
Employer & Industry UsageInternships offered by companies for trainingFull-time roles in various industries like finance, healthcare, tech

Internship Data positions are designed for students or recent graduates gaining initial experience, often with limited responsibilities. Data Analysts are full-time professionals responsible for analyzing data, creating reports, and supporting decision-making. The internship serves as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

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

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

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

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

Internship Data jobs near you
Infographic showing various Internship Data job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $44,701 per year, or $21.5 per hour.

Data Engineering Internship (Summer 2027)

Houston, TX

Castleton Commodities International LLC
Oil and Gas Extraction • 501 - 1,000 employees
Learn more about Castleton Commodities International LLCexternal

$109K - $131K/yr

Full-time

Re-posted 6 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.

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