Data Engineering Co-op: Azure + Databricks

Skyworks Solutions, Inc.; Irvine (CA); Hybrid; USD 36,000 - 65,000; Full time

Job summary

Skyworks Solutions, Inc. is seeking a motivated Data Engineering Intern to join our Enterprise Systems and Data Engineering team in Irvine for January through June 2027.

You will work with experienced engineers to build, enhance, test, and support modern data solutions using Databricks and Microsoft Azure. The internship offers exposure to enterprise-scale data pipelines, data quality, cloud storage, governance, and production practices.

Qualifications

• Pursuing or completed degree in a technical field relevant to data engineering.
• Ability to work onsite 5 days per week.
• Basic programming in Python; familiarity with HTML and JavaScript; write clear, testable code.

Responsibilities

• Develop and maintain data ingestion and transformation pipelines using Python, SQL, PySpark, HTML, JavaScript, and Databricks notebooks.
• Use Databricks Workflows and jobs to orchestrate, schedule, monitor, and troubleshoot data processing activities.
• Build and test ETL/ELT solutions for structured and semi-structured data from enterprise systems, databases, files, and APIs.
• Work with Delta Lake and lakehouse concepts, including Bronze, Silver, and Gold data layers.
• Apply data profiling, validation, reconciliation, and quality checks to improve data reliability.

Skills

Python

SQL

PySpark

HTML

JavaScript

Databricks

Git

CI/CD

Azure

Education

Bachelor's or Master's in CS/IT/Data Science/EE

Tools

Databricks

Azure

Git

CI/CD

Job description

Skyworks Solutions, Inc. is seeking a motivated Data Engineering Intern to join our Enterprise Systems and Data Engineering team in Irvine for January through June 2027.

You will work with experienced engineers to build, enhance, test, and support modern data solutions using Databricks and Microsoft Azure. The internship offers exposure to enterprise-scale data pipelines, data quality, cloud storage, governance, and production practices.