Data Engineering Summer Intern (May-Aug '27)

Skyworks Solutions, Inc. is an innovator of high-performance analog semiconductors powering wireless networking solutions. The Data Engineering Summer Intern will support the Enterprise Systems and Data Engineering team by building, testing, enhancing, and supporting modern data solutions using Databricks and Microsoft Azure, including data pipelines, quality controls, cloud storage, governance, and production engineering practices.

What you'll do:

• Develop and maintain data ingestion and transformation pipelines using Python, SQL, PySpark, 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
• Assist with onboarding new datasets into Azure Data Lake Storage and Databricks
• Support pipeline monitoring, root-cause analysis, defect resolution, and documentation
• Use Git and CI/CD practices for version control, peer review, testing, and controlled deployments
• Collaborate with data engineers, analysts, platform teams, and business stakeholders to understand requirements and deliver usable data products

What they're looking for:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Electronics Engineering, or a related technical discipline
• Ability to work on-site for 3 month internship period
• Basic programming proficiency in Python and the ability to write clear, testable code
• Working knowledge of SQL, relational databases, joins, aggregations, and data manipulation
• Understanding of data structures, algorithms, and software engineering fundamentals
• Strong analytical and problem-solving skills with attention to detail
• Clear written and verbal communication skills, with the ability to collaborate in a team environment
• Curiosity, accountability, and willingness to learn new technologies
• Takes ownership of assigned work and communicates progress or blockers early
• Approaches problems methodically and validates results before considering work complete
• Can learn independently while seeking guidance at the right time
• Values clean code, documentation, data security, and reliable delivery

Benefits:

• Hands-on exposure to Databricks workspace and notebooks, Apache Spark and PySpark, Delta Lake, Databricks Workflows, SQL Warehouses, Unity Catalog fundamentals, data quality controls, performance basics, and lakehouse architecture.
• Gain experience with ingestion, orchestration, testing, monitoring, and operational support.
• Work with Azure-based storage, integration, and data processing patterns.
• Apply validation, documentation, access control, lineage, and reliability practices.
• Gain experience with Git, code reviews, CI/CD, Agile delivery, and stakeholder collaboration.