$26 - $47 USD hourly
Work with Databricks and Microsoft Azure to build, enhance, test, and support modern data solutions.
About the role
This role is for a Student Engineer to join the Enterprise Systems and Data Engineering team.
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.
- 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.
What you'll need
- 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.
Nice to have
- Academic, internship, or personal project experience with Databricks, Apache Spark, or PySpark.
- Exposure to Microsoft Azure, Azure Data Factory, Azure Data Lake Storage, or Azure SQL.
- Understanding of ETL/ELT, data warehousing, lakehouse, or medallion architecture concepts.
- Familiarity with Git, Azure DevOps, CI/CD, Linux, REST APIs, or Power BI.
- Awareness of data governance, security, access control, or data quality principles.
Skills: data ingestion and transformation pipelines, Python, SQL, PySpark, Databricks
More semiconductor jobs: Embedded software jobs · Irvine jobs
This role has been open 74 days — slightly above the 65-day median for Systems Software Engineering roles.
Systems Software Engineering · Systems Software
|
Open roles in category
697
|
Median days open
65 d
|
Category median salary (all employers)
$220k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Skyworks | All employers we track in this specialty (697 roles · 73 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 697 |
| Open roles in the wider Software, Firmware & Systems family | 57 | 6531 · 156 employers |
| Median days open | 61 d | 65 d (−4 d vs this employer) |
| Median salary (USD postings) | — | $220k |
Skills observed across this category: data ingestion and transformation pipelines, Python, SQL, PySpark, Databricks
Who's hiring in this category
- NVIDIA · 166 open roles · median 53 d
- Qualcomm · 156 open roles · median 82 d
- AMD · 69 open roles · median 57 d
- Arm Holdings · 31 open roles · median 11 d
- Mobileye · 27 open roles · median 94 d
- Intel Corporation · 15 open roles · median 22 d
How we counted: 697 open Systems Software Engineering (Systems Software) roles from 73 employers tracked in the SemiconductorJobs index, counted 8 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.