Data Engineering Intern: Build Scalable Pipelines & ML Data

Valid8 Financial, Inc.; San Clemente (CA); On-site; USD 27,552 - 48,216; Full time

Job summary

Valid8 Financial, Inc. in San Clemente, CA, is seeking a Data Engineering Intern to support the development of scalable data systems for machine learning-based monitoring platforms. The role involves working with large-scale sensor datasets and cloud-based technologies in a fast-paced, innovative environment.

Interns will gain hands-on experience with data workflows, automation, and collaboration with engineering teams. Applicants should be pursuing a relevant technical degree and have foundational skills in Python and SQL.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in a related technical field.
• Hands‑on experience with Python and SQL.
• Exposure to data pipelines, ETL/ELT processes, or data warehousing concepts.

Responsibilities

• Build, maintain, and optimize ETL/ELT pipelines for processing sensor and operational data.
• Collaborate with software and ML engineers to prepare datasets for analytics and machine learning models.
• Create and maintain documentation for data flows and system diagrams.

Skills

Python programming

SQL/database fundamentals

Data engineering concepts

Problem-solving capabilities

Effective communication

Education

Pursuing Bachelor's or Master's degree in related technical field

Tools

AWS services (S3, Lambda, Glue, Redshift)

PostgreSQL or MySQL

Workflow orchestration tools (Apache Airflow)

Job description

Valid8 Financial, Inc. in San Clemente, CA, is seeking a Data Engineering Intern to support the development of scalable data systems for machine learning-based monitoring platforms. The role involves working with large-scale sensor datasets and cloud-based technologies in a fast-paced, innovative environment.

Interns will gain hands-on experience with data workflows, automation, and collaboration with engineering teams. Applicants should be pursuing a relevant technical degree and have foundational skills in Python and SQL.