Data Engineering Winter/Spring Co-Op (Jan-June '27)
Skyworks Solutions30 days ago
Irvine, CA, USAIntern
H1B sponsor
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 Bronze, Silver, and Gold data layers in lakehouse architectures.
- Apply data profiling, validation, reconciliation, and quality checks to improve data reliability.
- Assist with onboarding 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 deliver usable data products.
Requirements
- 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.
- Must be able to work onsite five days per week.
- Basic programming proficiency in Python, familiarity with HTML and JavaScript, and 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 and ability to collaborate in a team environment.
- Curiosity, accountability, willingness to learn, and interest in a career in data engineering and cloud data platforms.
- Academic, internship, or personal project experience with Databricks, Apache Spark, or PySpark is desired.
- Exposure to Microsoft Azure, Azure Data Factory, Azure Data Lake Storage, or Azure SQL is desired.
- Understanding of ETL/ELT, data warehousing, lakehouse, or medallion architecture concepts is desired.
- Familiarity with HTML, JavaScript, Git, Azure DevOps, CI/CD, Linux, REST APIs, or Power BI is desired.
- Awareness of data governance, security, access control, or data quality principles is desired.
- Databricks or Microsoft Azure learning credentials are advantageous but not required.
Benefits
- January–June 2027 internship/co-op period.
- Onsite work five days per week.
- Typical U.S. Engineering intern pay range is USD $29.00–$49.00 per hour, depending on education, duties, requirements, and location.
Tech Stack
Categories
Data Engineering
About Skyworks Solutions
Skyworks Solutions, Inc. is empowering the wireless networking revolution. Our highly innovative analog semiconductors are connecting people, places and things spanning a number of new and previously unimagined applications within the aerospace, automotive, broadband, cellular infrastructure, connected home, industrial, medical, military, smartphone, tablet and wearable markets. Skyworks is a global company with engineering, marketing, operations, sales and support facilities located throughout Asia, Europe and North America and is a member of the S&P 500® and Nasdaq-100® market indices (NASDAQ: SWKS). For more information, please visit Skyworks’ website at: www.skyworksinc.com.