Data Engineering Intern Jobs in California
Data Engineering Intern jobs in California are concentrated in the technology, financial services, and entertainment sectors, with demand running from first-semester undergraduates through graduating seniors seeking full-time conversion offers. The largest hiring activity is in San Francisco, San Jose, and Los Angeles, where established employers like Google, Apple, and Meta have built substantial data infrastructure teams that rely on intern pipelines year-round. The most in-demand specialties within the role are pipeline development using Apache Spark and Kafka, cloud data warehouse work on platforms like BigQuery and Snowflake, and ETL automation for machine learning workflows. See the openings below and apply to the ones that match your experience.
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Job Details:
Job Description:
As an AI Software Engineering PhD Intern, you will contribute to the design, development, and optimization of cutting-edge AI software solutions across domains such as computer vision, machine learning, and deep learning. You will implement and tune AI models for performance and accuracy, explore applied research opportunities, and engage in hardware-software integration to enable scalable and efficient AI solutions. Your work will directly support Intel's technological advancements, giving you hands-on experience to develop skills while contributing to impactful projects in a collaborative environment.
Business group
Intel Foundry is dedicated to delivering world-class manufacturing and technology capabilities that support Intel's mission to create smart, connected systems. The group fosters innovation across hardware and software domains, driving advancements that enable efficient and scalable computing solutions. As part of this group, you will work on initiatives that enhance Intel's ability to deliver transformative products and solutions to customers worldwide.
Key Responsibilities
- Responsible for designing and implementing data-driven solutions that optimize tool capacity management, risk modeling, and defect inspection strategies.
-You will build robust cloud-based ETL pipelines, develop predictive models, deliver actionable insights through published reports and dashboards, and build an MCP server that connects manufacturing data and analytical models to our in house Gen AI and LLM service that empowers engineers to query manufacturing data conversationally.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.
Minimum Qualifications
o Must be pursuing a PhD in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related discipline.
o 6+months of experience with programing
o 3+ months experience with Git, Docker, Helm, Kubernetes, MCP server
o Proficiency in Python programming and machine learning techniques.
Preferred Qualifications
o Experience with data analysis and visualization.
o Knowledge of statistical analysis and modeling techniques.
o Strong understanding of algorithms, data structures and database fundamentals
We are excited to welcome motivated individuals who are eager to push the boundaries of AI technology. Join us to transform ideas into impactful solutions and grow your career in a supportive, pioneering environment.
Job Type:
Student / InternShift:
Shift 1 (United States of America)Primary Location:
US, California, Santa ClaraAdditional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust
N/ABenefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.Job Details:
Job Description:
As an AI Software Engineering PhD Intern, you will contribute to the design, development, and optimization of cutting-edge AI software solutions across domains such as computer vision, machine learning, and deep learning. You will implement and tune AI models for performance and accuracy, explore applied research opportunities, and engage in hardware-software integration to enable scalable and efficient AI solutions. Your work will directly support Intel's technological advancements, giving you hands-on experience to develop skills while contributing to impactful projects in a collaborative environment.
Business group
Intel Foundry is dedicated to delivering world-class manufacturing and technology capabilities that support Intel's mission to create smart, connected systems. The group fosters innovation across hardware and software domains, driving advancements that enable efficient and scalable computing solutions. As part of this group, you will work on initiatives that enhance Intel's ability to deliver transformative products and solutions to customers worldwide.
Key Responsibilities
- Responsible for designing and implementing data-driven solutions that optimize tool capacity management, risk modeling, and defect inspection strategies.
-You will build robust cloud-based ETL pipelines, develop predictive models, deliver actionable insights through published reports and dashboards, and build an MCP server that connects manufacturing data and analytical models to our in house Gen AI and LLM service that empowers engineers to query manufacturing data conversationally.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.
Minimum Qualifications
o Must be pursuing a PhD in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related discipline.
o 6+months of experience with programing
o 3+ months experience with Git, Docker, Helm, Kubernetes, MCP server
o Proficiency in Python programming and machine learning techniques.
Preferred Qualifications
o Experience with data analysis and visualization.
o Knowledge of statistical analysis and modeling techniques.
o Strong understanding of algorithms, data structures and database fundamentals
We are excited to welcome motivated individuals who are eager to push the boundaries of AI technology. Join us to transform ideas into impactful solutions and grow your career in a supportive, pioneering environment.
Job Type:
Student / InternShift:
Shift 1 (United States of America)Primary Location:
US, California, Santa ClaraAdditional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust
N/ABenefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.See All 7 Data Engineering Intern Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Engineering Intern JobsData Engineering Intern Jobs by City in California
Where California roles are concentrated, by current openings.
Data Engineering Intern Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What California Employers Look For
The qualifications that appear most often in data engineering intern jobs across California.
- Currently enrolled in a bachelor's or master's degree program in computer science, data science, or a related field
- Hands-on experience with Python or SQL for data manipulation and pipeline development
- Familiarity with distributed computing frameworks such as Apache Spark or Apache Kafka
- Experience or coursework involving cloud platforms including Google Cloud, AWS, or Azure
- Understanding of data modeling, ETL processes, and relational database design principles
- Strong communication skills for collaborating with cross-functional California-based engineering and analytics teams
Data Engineering Intern Jobs in California: Frequently Asked Questions
How do you become a data engineering intern in California?
The most direct path is enrollment in a computer science, data science, or software engineering program at a California university or community college, followed by building a portfolio of pipeline and data transformation projects. California has no state-issued license or certification required for data engineering work, so employers focus on technical coursework, GitHub portfolios demonstrating SQL and Python proficiency, and participation in campus hackathons or data competitions hosted by UC and Cal State campuses.
Which companies hire data engineering interns in California?
Employers hiring data engineering interns in California right now include TikTok, Meta, and Wing, based on current listings on Migrate Mate as of November 2026. California's density of technology headquarters, streaming companies, and fintech firms means intern programs here tend to offer exposure to production-scale data infrastructure rather than sandbox environments.
Which California cities have the most data engineering intern jobs?
San Jose, Irvine, and Palo Alto have the most data engineering intern openings in California. The San Francisco Bay Area dominates because of its concentration of technology headquarters and venture-backed startups, while Los Angeles draws hiring from entertainment technology, ad-tech, and e-commerce companies, and San Diego contributes through its growing biotech and defense-tech sectors that rely heavily on data pipeline work.
Are there remote data engineering intern jobs in California?
Yes, and more than most fields, because data engineering work is inherently code-driven and does not require physical presence at a facility. About 0% of data engineering intern openings tied to California are remote or hybrid as of November 2026, reflecting the distributed team culture common in California technology companies. Pipeline development, SQL analysis, and cloud infrastructure tasks are the portions of the role most frequently performed fully remotely.
How can I get hired as a data engineering intern in California with little or no experience?
The most realistic entry path is applying directly to structured intern programs at large California technology employers, which are designed to train candidates with classroom knowledge but limited production experience. Google, Apple, and Salesforce each run formal new-grad and intern rotational programs that accept applicants with strong coursework alone. Transitioning from a business intelligence analyst or analytics engineer role at a California startup is another common lateral entry. Building a public portfolio on GitHub showing end-to-end pipeline projects, even from coursework, gives applicants a measurable edge over candidates with no demonstrated output.
Where can I find and apply to data engineering intern jobs in California?
You can find and apply to data engineering intern jobs in California on Migrate Mate, which lists current California openings updated in real time. Search for roles that match your technical skills and target location, then apply directly to the ones that fit your background and availability.
See All 7 Data Engineering Intern Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Engineering Intern Jobs