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Summer International Data Engineer Jobs in Spring, TX

Paul Hastings is a leading international law firm that provides innovative legal solutions to many ... The Senior Data Engineer is responsible for designing, building and maintaining modern data ...

... and international operations. At Husch Blackwell we believe that diverse, equitable and inclusive ... The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data ...

... and international operations. At Husch Blackwell we believe that diverse, equitable and inclusive ... The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data ...

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Summer International Data Engineer information

See Spring, TX salary details

$53.8K

$108.7K

$149.1K

How much do summer international data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for summer international data engineer in Spring, TX is $108,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $124,600.00 per year, depending on experience, location, and employer.

What is the difference between Summer International Data Engineer vs Summer Data Engineer?

AspectSummer International Data EngineerSummer Data Engineer
CredentialsBachelor's in CS, Data Science, or related field; some roles prefer certifications in cloud platformsBachelor's in CS, Data Science, or related field; certifications in cloud or data tools are common
Work EnvironmentGlobal teams, multinational companies, often remote or on-site abroadDomestic or international companies, often on-site or remote within the same country
Employer & Industry UsageTech firms, finance, consulting with international projectsTech firms, startups, finance, and consulting firms

The main difference is that Summer International Data Engineers typically work on global projects with international teams and may require knowledge of multiple regions, while Summer Data Engineers focus on domestic or regional data projects. Both roles require similar technical skills and certifications, but the international role emphasizes cross-cultural collaboration and global data management.

What are the most commonly searched types of International Data Engineer jobs in Spring, TX? The most popular types of International Data Engineer jobs in Spring, TX are:
What are popular job titles related to Summer International Data Engineer jobs in Spring, TX? For Summer International Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What cities near Spring, TX are hiring for Summer International Data Engineer jobs? Cities near Spring, TX with the most Summer International Data Engineer job openings:

$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.