Data Engineering Intern - Build Scalable Data Pipelines

Skydrop; San Clemente (CA); On-site; USD 27,552 - 41,328; Part time

Job summary

Skydrop is looking for a Data Engineering Intern based in San Clemente, California to support the development of scalable data systems for their machine learning platform. The intern will work with large-scale datasets and collaborate with engineers to enable advanced analytics.

This internship provides a unique opportunity to gain hands-on experience building production-ready data systems in a dynamic environment.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in a relevant technical field.
• Hands‑on experience with Python and SQL.
• Exposure to data pipelines or ETL processes.

Responsibilities

• Build and optimize ETL pipelines for data processing.
• Develop data workflows using Python, SQL, and AWS.
• Collaborate with engineers to prepare datasets for machine learning.

Skills

Python programming

SQL/database fundamentals

Data engineering concepts

Problem-solving capabilities

Effective communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AWS

PostgreSQL

Docker

Job description

Skydrop is looking for a Data Engineering Intern based in San Clemente, California to support the development of scalable data systems for their machine learning platform. The intern will work with large-scale datasets and collaborate with engineers to enable advanced analytics.

This internship provides a unique opportunity to gain hands-on experience building production-ready data systems in a dynamic environment.