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Summer Data Engineer Jobs in Texas (NOW HIRING)

DTCC

$13.75 - $18.50/hr

About Our Internship Program The DTCC Summer Internship Program is a 10-week experience designed ... Data Engineering * Network Engineering * Site Reliability & Platform Engineering * Cybersecurity ...

IKERD

Summer Intern: Scan Engineer/Technician 1

Dallas, TX · On-site +1

$16.50 - $21.50/hr

This is a summer position for those enrolled in an ABET accredited post-secondary education program ... An LS-1 is also responsible for securely handling data between field and office operations ...

EHRA Engineering

Engineer II

Houston, TX · On-site

Contribute data/findings for use in technical reports, designs, documents, or oral/written ... About to be a Summer Leader for a Summer intern. * Participates on a design team in the preparation ...

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All JobsSummer Data Engineer JobsSummer Data Engineer Jobs in Texas

Summer Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do summer data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for summer data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks do Summer Data Engineers typically work on during their internships?

Summer Data Engineers are often assigned to real-world projects such as building data pipelines, cleaning and transforming datasets, and supporting analytics initiatives within their teams. They may collaborate with data scientists, software engineers, and business analysts to ensure data is accessible, reliable, and well-documented for analysis or reporting. Weekly responsibilities can include writing SQL queries, developing ETL (Extract, Transform, Load) processes, and participating in regular team meetings or code reviews. This hands-on experience provides valuable exposure to industry-standard tools and practices, helping interns build a strong foundation for future data engineering roles.

What are the key skills and qualifications needed to thrive in the Summer Data Engineer position, and why are they important?

To thrive as a Summer Data Engineer, you need a solid understanding of programming languages (such as Python or SQL), data structures, and data processing concepts, typically supported by ongoing or completed coursework in computer science, statistics, or related fields. Familiarity with data engineering tools like Apache Spark, Hadoop, and cloud platforms (e.g., AWS or Azure) is often expected, as are internships, workshops, or relevant technical certifications. Strong problem-solving abilities, willingness to learn, effective communication skills, and teamwork help set applicants apart. These competencies enable you to efficiently support data-driven projects, collaborate with cross-functional teams, and contribute meaningfully during a short-term internship or seasonal assignment.

What is a Summer Data Engineer job?

A Summer Data Engineer is a seasonal or internship role focused on assisting data engineering teams with tasks like data pipeline development, ETL processes, and database management. This role typically involves working with programming languages such as Python or SQL, cloud platforms, and data processing frameworks. Summer Data Engineers help ensure that data is efficiently collected, stored, and accessible for analysis. The position provides hands-on experience in data infrastructure and is ideal for students or early-career professionals looking to gain industry experience.

What are the most commonly searched types of Data Engineer jobs in Texas? The most popular types of Data Engineer jobs in Texas are:
What are popular job titles related to Summer Data Engineer jobs in Texas? For Summer Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Summer Data Engineer jobs in Texas look for? The top searched job categories for Summer Data Engineer jobs in Texas are:
What cities in Texas are hiring for Summer Data Engineer jobs? Cities in Texas with the most Summer Data Engineer job openings:
Summer Data Engineer jobs near you
Infographic showing various Summer Data Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 12% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Data Engineering Internship (Summer 2027)

Data Engineering Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

$109K - $131K/yr

Full-time

Posted 7 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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