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Data Engineering Internship Jobs in California (NOW HIRING)

Archer

Staff Data Engineer

San Jose, CA · On-site

$17K - $215K/yr

What You Need: * 5+ years of professional data engineering experience excluding internships. * BS/MS/PhD in Computer Science, Data Engineering, Software Engineering, or a related field. * Hands-on ...

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Data Engineering Internship information

What is a data engineering internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.

What types of projects or tasks can I expect to work on during a data engineering internship?

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

What are the key skills and qualifications needed to thrive as a data engineering intern?

To thrive as a Data Engineering Intern, you need a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

What is the difference between Data Engineering Internship vs Data Analyst Internship?

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

What are the most commonly searched types of Data Engineering jobs in California?

The most popular types of Data Engineering jobs in California are:

What are popular job titles related to Data Engineering Internship jobs in California?

For Data Engineering Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Engineering Internship jobs in California look for?

The top searched job categories for Data Engineering Internship jobs in California are:

What cities in California are hiring for Data Engineering Internship jobs?

Cities in California with the most Data Engineering Internship job openings:

Data Engineering Internship jobs near you
Infographic showing various Data Engineering Internship job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineering Winter/Spring Co-Op (Jan-June '27)

Irvine, CA • On-site

Skyworks
Construction • 201 - 500 employees
Learn more about Skyworksexternal

$122K - $147K/yr

Full-time

Posted 6 days ago

Job description

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: 78284 

Description

Data Engineering Intern

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 January to June 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 onsite 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.

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About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. 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.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US

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