Data Engineering Intern Visa Sponsorship Jobs in California
Data engineering intern roles in California are concentrated at major tech employers across the San Francisco Bay Area, Los Angeles, and San Diego. Companies like Google, Meta, Databricks, and Snowflake regularly hire data engineering interns and have established visa sponsorship infrastructure. California's deep university pipeline from UC Berkeley, UCLA, and Stanford feeds directly into these programs.
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Get Access To All JobsJob Title: Data Engineering Summer/Fall Co-Op (June - Dec '27)
Posting Start Date: 8/28/26
Job Location(s): Irvine
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78285
Job Description:
We are looking for a motivated Data Engineering Intern to join our Enterprise Systems and Data Engineering team. You will work with experienced engineers to build, enhance, test, and support modern data solutions using Databricks and Microsoft Azure. The internship offers practical exposure to enterprise-scale data pipelines, data quality, cloud storage, governance, and production engineering practices.
This internship is for June/July to December 2027 time period.
Responsibilities
What You Will Work On
- 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.
- 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.
Databricks Learning Focus
Hands-on exposure may include: 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.
What You Will Learn:
- Databricks & Spark - Develop notebooks and scalable transformations with SQL, Python, PySpark, HTML, and JavaScript.
- Pipeline Engineering - Understand ingestion, orchestration, testing, monitoring, and operational support.
- Cloud Data Platforms - Work with Azure-based storage, integration, and data processing patterns.
- Data Quality & Governance - Apply validation, documentation, access control, lineage, and reliability practices.
- Engineering Delivery - Gain experience with Git, code reviews, CI/CD, Agile delivery, and stakeholder collaboration.
Ideal Candidate Profile
- 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.
- Is interested in building a long-term career in data engineering and cloud data platforms.
Suggested Academic or Personal Projects
- An end-to-end ETL pipeline that ingests, cleans, transforms, and publishes a dataset.
- A Databricks or Spark project using Delta tables and Bronze, Silver, and Gold layers.
- A data quality or reconciliation framework using Python and SQL.
- A cloud-based analytics project with Azure storage, orchestration, and reporting.
- A database design, API ingestion, or data visualization project with clear documentation.
Required Experience and Skills
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 have the ability to work on-site 5 days per week.
Basic programming proficiency in Python, with familiarity in HTML and JavaScript, 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.
Desired Experience and Skills
- 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 HTML, JavaScript, Git, Azure DevOps, CI/CD, Linux, REST APIs, or Power BI.
- Awareness of data governance, security, access control, or data quality principles.
- Databricks or Microsoft Azure learning credentials are an advantage but not required.
The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
Job Title: Data Engineering Summer/Fall Co-Op (June - Dec '27)
Posting Start Date: 8/28/26
Job Location(s): Irvine
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78285
Job Description:
We are looking for a motivated Data Engineering Intern to join our Enterprise Systems and Data Engineering team. You will work with experienced engineers to build, enhance, test, and support modern data solutions using Databricks and Microsoft Azure. The internship offers practical exposure to enterprise-scale data pipelines, data quality, cloud storage, governance, and production engineering practices.
This internship is for June/July to December 2027 time period.
Responsibilities
What You Will Work On
- 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.
- 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.
Databricks Learning Focus
Hands-on exposure may include: 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.
What You Will Learn:
- Databricks & Spark - Develop notebooks and scalable transformations with SQL, Python, PySpark, HTML, and JavaScript.
- Pipeline Engineering - Understand ingestion, orchestration, testing, monitoring, and operational support.
- Cloud Data Platforms - Work with Azure-based storage, integration, and data processing patterns.
- Data Quality & Governance - Apply validation, documentation, access control, lineage, and reliability practices.
- Engineering Delivery - Gain experience with Git, code reviews, CI/CD, Agile delivery, and stakeholder collaboration.
Ideal Candidate Profile
- 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.
- Is interested in building a long-term career in data engineering and cloud data platforms.
Suggested Academic or Personal Projects
- An end-to-end ETL pipeline that ingests, cleans, transforms, and publishes a dataset.
- A Databricks or Spark project using Delta tables and Bronze, Silver, and Gold layers.
- A data quality or reconciliation framework using Python and SQL.
- A cloud-based analytics project with Azure storage, orchestration, and reporting.
- A database design, API ingestion, or data visualization project with clear documentation.
Required Experience and Skills
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 have the ability to work on-site 5 days per week.
Basic programming proficiency in Python, with familiarity in HTML and JavaScript, 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.
Desired Experience and Skills
- 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 HTML, JavaScript, Git, Azure DevOps, CI/CD, Linux, REST APIs, or Power BI.
- Awareness of data governance, security, access control, or data quality principles.
- Databricks or Microsoft Azure learning credentials are an advantage but not required.
The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
Data Engineering Intern Job Roles in California
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Search Data Engineering Intern Jobs in CaliforniaData Engineering Intern Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data engineering interns in California?
Large tech employers with dedicated internship programs are the most consistent sponsors for data engineering interns in California. Google, Meta, Apple, Salesforce, Databricks, and Snowflake all have established international intern hiring pipelines, particularly in the Bay Area. Mid-size data infrastructure and cloud companies headquartered in California also sponsor regularly, though their programs vary in size and sponsorship capacity from year to year.
Which visa types are most common for data engineering intern roles in California?
Most international data engineering interns in California work on F-1 OPT or CPT authorization, which lets students work without employer-sponsored petitions during their degree program. For post-graduation roles that begin as internships and convert to full-time, the H-1B visa is the primary sponsored pathway. Some employers also use J-1 visa intern exchange visitor programs, particularly for shorter summer placements coordinated through a designated sponsor organization.
Which cities in California have the most data engineering intern sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Menlo Park, and San Francisco itself, accounts for the largest share of data engineering intern roles with visa sponsorship in California. Los Angeles is a secondary hub, driven by media, fintech, and e-commerce companies. San Diego has a smaller but growing cluster tied to biotech data roles and companies like Qualcomm with active intern programs.
How to find data engineering intern visa sponsorship jobs in California?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, including data engineering intern positions in California. You can filter by state and role type to surface employers who have sponsored international workers before. Because California has a high concentration of tech companies with established international hiring programs, the sponsorship signal from Migrate Mate's data is particularly useful for narrowing your search to realistic targets.
Are there state-specific considerations for data engineering interns seeking sponsorship in California?
California's prevailing wage requirements and strong labor protections apply to sponsored workers, so employers must meet Department of Labor wage standards for any H-1B or H-1B-dependent filings. The state's concentration of large tech employers also means many California-based companies are H-1B-dependent, which triggers stricter attestation requirements. University affiliation matters too: internships sourced through UC or CSU career offices sometimes have access to J-1 program infrastructure that other applicants do not.
What is the prevailing wage for sponsored data engineering intern jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.