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Data Warehouse Intern Jobs in California (NOW HIRING)

The Data Engineering Intern supports the development of scalable data systems and infrastructure ... OLAP systems Experience with data lakes, data warehousing, or analytics platforms Interest in ...

The Data Engineering Intern supports the development of scalable data systems and infrastructure ... OLAP systems Experience with data lakes, data warehousing, or analytics platforms Interest in ...

$15/hr

We have built out a large data collection platform, with our data warehouse storing over 100m rows of data for accurate credit scoring. Umba is looking for an Operations Intern to join our team. We ...

We have built out a large data collection platform, with our data warehouse storing over 100m rows of data for accurate credit scoring. Umba is looking for an Operations Intern to join our team. We ...

As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers. Responsibilities * Perform large ...

Role Overview As a Security Engineering Intern at Labelbox, you will work closely with our security ... data warehousing. * Demonstrated ability to integrate modern AI tools and local LLM agents (such as ...

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Showing results 1-20

Data Warehouse Intern information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data warehouse intern jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data warehouse intern in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What does a data warehouse intern do?

A Data Warehouse Intern assists in the development, maintenance, and management of data warehouse systems. They help with tasks such as data extraction, transformation, and loading (ETL), as well as ensuring data quality and accuracy. The internship often involves working with databases, writing queries, and collaborating with data analysts or engineers to support business intelligence initiatives. This role provides hands-on experience with data management tools and processes, giving interns valuable insight into data-driven decision-making in organizations.

What types of projects or tasks can a data warehouse intern expect to work on during their internship?

As a Data Warehouse Intern, you can expect to be involved in a variety of tasks such as assisting with data modeling, performing data extraction and transformation, and supporting the maintenance and optimization of data pipelines. You may also help in cleaning and validating data, generating reports for business stakeholders, and testing data warehouse solutions for accuracy and efficiency. Interns often collaborate closely with data engineers, analysts, and IT teams, which provides valuable exposure to real-world data management practices and teamwork dynamics.

What are the key skills and qualifications needed to thrive as a data warehouse intern, and why are they important?

To thrive as a Data Warehouse Intern, you need a solid understanding of database concepts, SQL, and data modeling, often supported by coursework in computer science or information systems. Familiarity with data warehousing tools such as Microsoft SQL Server, Oracle, or cloud platforms like AWS Redshift, as well as experience with ETL processes, is highly beneficial. Strong analytical thinking, attention to detail, and effective communication help you interpret data and collaborate with team members. These skills and qualities are essential for accurately managing data, supporting business intelligence initiatives, and contributing to team projects in a real-world environment.

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

AspectData Warehouse InternData Analyst Intern
Required CredentialsEnrolled in or recent graduate of Computer Science, Data Science, or related fieldsEnrolled in or recent graduate of Statistics, Data Science, or related fields
Work EnvironmentAssist with data storage, database management, and ETL processes in data teamsAnalyze data, create reports, and support decision-making processes
Employer & Industry UsageUsed in organizations with large data infrastructure, tech, finance, and retailCommon across various industries including marketing, finance, and consulting

The Data Warehouse Intern focuses on supporting data storage, database management, and ETL processes, often working closely with data engineers. In contrast, the Data Analyst Intern primarily analyzes data, creates reports, and helps interpret data insights. Both roles require similar educational backgrounds but differ in daily tasks and focus areas within data teams.

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

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

What cities in California are hiring for Data Warehouse Intern jobs?

Cities in California with the most Data Warehouse Intern job openings:

Infographic showing various Data Warehouse Intern job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Engineering Intern

Qeexo, Co.

San Clemente, CA โ€ข On-site

$25/hr

Internship

Re-posted 14 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.

ย 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 servicesย 

Support data ingestion, transformation, validation, and monitoring processesย 

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

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

Assist with integration and optimization of OLTP and OLAP systemsย 

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 specificationsย 

Participate in code reviews and adhere to engineering best practicesย 

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

Contribute to continuous improvement of data infrastructure and workflows

ย 

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.ย 

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:ย 

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

Computer Science

Data Engineering

Information Systems

or a related technical field

Hands-on experience with Python and SQLย 

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

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

Exposure to cloud platforms, preferably AWSย 

ย Knowledge/Skills/Abilities

Strong foundation in Python programming and SQL/database fundamentalsย 

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

Familiarity with cloud computing and distributed systemsย 

Analytical mindset with strong problem-solving capabilitiesย 

Ability to quickly learn new tools, technologies, and frameworksย 

Strong attention to detail and commitment to data accuracy and qualityย 

Effective communication skills, both written and verbalย 

Ability to collaborate in cross-functional team environments

Preferred / Bonus Qualifications

ย  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