Data Engineering Internship (Summer 2026)

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 2026 or Spring/Summer 2027.

• 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.

Visit  https://www.cci.com/careers/life-at-cci/#to learn more!

#LI-CD1