Data Engineering Intern: Build Scalable Pipelines

Castleton Commodities International; Stamford (CT); On-site; USD 28,000 - 48,000; Full time

Job summary

Castleton Commodities International is seeking motivated Data Engineering Interns to join its Global Data Science & Technology team across its Houston, Stamford, and New York offices. The role focuses on building robust data pipelines and optimizing ingestion, transformation, and storage for analytics and trading decisions.

As an intern, you will work closely with Data Science and Engineering teams, applying Python and SQL to ingest, clean, and manage large datasets, including Snowflake, while

Qualifications

• Pursuing a Bachelor's or higher in CS/Engineering/MIS or related field.
• Expected graduation date of Winter 2027 or Spring/Summer 2028.
• Strong programming experience in Python (pandas, NumPy, SQLAlchemy).
• Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
• Exposure to or interest in cloud platforms (AWS, Azure), particularly with cloud data storage and compute.
• Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

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.

Skills

Python

SQL

pandas

NumPy

SQLAlchemy

Education

Bachelor's degree in Computer Science, Engineering, MIS, or related field

Expected graduation Winter 2027 or Spring/Summer 2028

Tools

Snowflake

Airflow

AWS

Azure

Job description

Castleton Commodities International is seeking motivated Data Engineering Interns to join its Global Data Science & Technology team across its Houston, Stamford, and New York offices. The role focuses on building robust data pipelines and optimizing ingestion, transformation, and storage for analytics and trading decisions.

As an intern, you will work closely with Data Science and Engineering teams, applying Python and SQL to ingest, clean, and manage large datasets, including Snowflake, while