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Internship Gupta Sql Developer Jobs in Texas (NOW HIRING)

Charles Schwab Inc.

Software Developer

Southlake, TX · On-site

$48.08 - $57.69/hr

... internship/academic projects) building applications using Java, Spring, and web services. * 1+ ... Basic knowledge of databases such as MongoDB, Redis, or SQL Server. * Ability to collaborate across ...

Avior

Entry-Level Software Developer

Irving, TX · On-site

$42K - $52K/yr

Basic knowledge of databases (SQL, NoSQL). * Excellent problem-solving skills and attention to ... Internship or project experience in software development. * Knowledge of web development frameworks ...

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Internship Gupta Sql Developer information

What is the difference between Internship Gupta Sql Developer vs Junior SQL Developer?

AspectInternship Gupta SQL DeveloperJunior SQL Developer
QualificationsBasic SQL knowledge, ongoing educationDegree in Computer Science or related field, some SQL experience
Work EnvironmentInternship setting, learning-focusedEntry-level professional role, project-based
ResponsibilitiesAssist in database tasks, learn SQL conceptsWrite queries, maintain databases, support projects

The Internship Gupta SQL Developer is an entry-level, learning-focused position for those starting in SQL development, often part of an internship program. The Junior SQL Developer is a full-time role requiring some experience or education, with more responsibilities in database management and query writing. Both roles serve as stepping stones in a SQL development career, but differ mainly in experience level and scope of work.

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Infographic showing various Internship Gupta Sql Developer job openings in Texas as of August 2026, with employment types broken down into 32% Internship, and 68% Part Time. Highlights an 100% In-person job distribution.

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 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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