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Data Engineering Intern Jobs in California (NOW HIRING)

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based equipment monitoring platform. In this role, the intern will ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based equipment monitoring platform. In this role, the intern will ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based equipment monitoring platform. In this role, the intern will ...

Advantest

ME Engineering Intern

San Jose, CA

$19.75 - $25.50/hr

We are seeking a highly motivated Mechanical Engineering intern to assist in the development and ... Data-Driven Analysis: Collect and process mechanical and optical performance data to define the ...

Advantest

ME Engineering Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

We are seeking a highly motivated Mechanical Engineering intern to assist in the development and ... Data-Driven Analysis: Collect and process mechanical and optical performance data to define the ...

Estes Energy

2026 Fall Engineering Intern

San Francisco, CA · On-site

$19.75 - $25.50/hr

2026 Fall Engineering Intern Location: [On-site -- San Francisco] · Term: Fall 2026 (Sept-Dec ... You'll reason from first principles, let data drive your decisions, and design with cost and scale ...

Joby Aviation

Software Engineering Intern

San Carlos, CA · On-site

$5.5K - $7.8K/mo

Our engineers build applications that aggregate and fuse data across varied sources and leverage AI ... As a Software Engineering Intern at Joby, you will work alongside a small team of full-stack and ...

APTIM

Civil Engineering Intern

Concord, CA · On-site

$25 - $34.11/hr

The Civil Engineer Intern will support civil engineering teams in the planning, design, analysis ... Collaborate with current engineering staff in the interpretation of engineering data, conduct ...

LISI

ENGINEERING INTERN

Torrance, CA · On-site

$25/hr

SUMMARY : The Manufacturing Engineer Intern will work closely with the direction of the ... Collects data on "green belt" projects for Six Sigma. * Analyzes & troubleshoots manufacturing ...

LISI

ENGINEERING INTERN

Torrance, CA · On-site

$17.50 - $22.75/hr

SUMMARY : The Manufacturing Engineer Intern will work closely with the direction of the ... Collects data on "green belt" projects for Six Sigma. * Analyzes & troubleshoots manufacturing ...

Solcoa Industries

Mechanical Engineering Intern

Alameda, CA · On-site

$21.25 - $28.50/hr

The Role - Mechanical Engineering Intern Join our hardware team and help turn designs into working ... Run tests, collect/clean data, and summarize results to inform design iterations. * Perform leak ...

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All JobsData Engineering Intern JobsData Engineering Intern Jobs in California

Data Engineering Intern information

See California salary details

$10

$19

$29

How much do data engineering intern jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for data engineering intern in California is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.62 per hour, depending on experience, location, and employer.

What types of projects and technologies can a Data Engineering Intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a Data Engineering Intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

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

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Data Engineering Intern, and why are they important?

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.
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 cities in California are hiring for Data Engineering Intern jobs? Cities in California with the most Data Engineering Intern job openings:
Data Engineering Intern jobs near you
Infographic showing various Data Engineering Intern job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,648 per year, or $19.1 per hour.
Data Engineering Intern

Data Engineering Intern

Qeexo, Co.

San Clemente, CA

$25/hr

Other

Re-posted 2 days ago

Job description

TDK SensEI is transforming how sensor data is collected, processed, and leveraged powering intelligent, data-driven decision-making across

industrial environments. As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a global leader in sensor technology, SensEI operates at the forefront of industrial AI and analytics.

 The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based

equipment monitoring platform. In this role, the intern will work with large-scale sensor datasets, cloud-based technologies, and modern data

pipelines, while collaborating closely with software and machine learning engineers to enable advanced analytics and AI applications.

This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative environment.

KEY RESPONSIBILITIES

Build, maintain, and optimize ETL/ELT pipelines for processing sensor and operational data

Develop data workflows and automation using Python, SQL, and AWS services 

Support data ingestion, transformation, validation, and monitoring processes 

Work with structured and semi-structured data from cloud and edge-based systems 

Collaborate with software and ML engineers to prepare datasets for analytics and machine learning models 

Assist with integration and optimization of OLTP and OLAP systems 

Troubleshoot pipeline issues and contribute to improvements in data reliability and performance

ADDITIONAL RESPONSIBILITIES

Create and maintain documentation, including data flows, system diagrams, and technical specifications 

Participate in code reviews and adhere to engineering best practices 

Support initiatives to improve data quality, observability, and operational efficiency 

Contribute to continuous improvement of data infrastructure and workflows

 

Other Duties:

Perform other related duties and ad hoc projects as assigned to support departmental and organizational goals.

Workplace Safety: Maintain awareness of and follow all workplace safety guidelines and promote a culture of well-being.

Quality and Compliance: Ensure work is performed in accordance with established quality control and assurance processes. 

Ethics and Integrity: Adhere to the company's Values and Code of Conduct and uphold the highest standards of honesty, integrity, and ethical behavior in all business activities.

QUALIFICATIONS

Education/Experience: 

 Currently pursuing a Bachelor's or Master's degree in: 

Computer Science

Data Engineering

Information Systems

or a related technical field

Hands-on experience with Python and SQL 

Exposure to data pipelines, ETL/ELT processes, or data warehousing concepts 

Familiarity with relational and/or analytical databases (e.g., PostgreSQL, MySQL, Redshift) 

Exposure to cloud platforms, preferably AWS 

 Knowledge/Skills/Abilities

Strong foundation in Python programming and SQL/database fundamentals 

Basic understanding of data engineering concepts, including pipelines, transformation, and storage 

Familiarity with cloud computing and distributed systems 

Analytical mindset with strong problem-solving capabilities 

Ability to quickly learn new tools, technologies, and frameworks 

Strong attention to detail and commitment to data accuracy and quality 

Effective communication skills, both written and verbal 

Ability to collaborate in cross-functional team environments

Preferred / Bonus Qualifications

  Experience with workflow orchestration tools (e.g., Apache Airflow)

Familiarity with AWS services such as S3, Lambda, Glue, or Redshift

Exposure to Docker, Linux, or shell scripting

Understanding of OLTP vs. OLAP systems

Experience with data lakes, data warehousing, or analytics platforms

Interest in machine learning and data-driven systems

Experience with Git or version control systems

Qeexo logo

About Qeexo

Sourced by ZipRecruiter

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012

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