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Internship Data Engineer Intern Jobs in California

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 ... This internship provides hands-on experience in building production-ready data systems within a ...

Gumloop

Design Engineer Intern

San Francisco, CA · On-site

Let people who understand the problem build and share agents, manage their access to data, choose ... internship for someone who wants real influence over what we build, how it works, and how it feels.

Clera

Founding Engineer Intern

San Francisco, CA · On-site

As a Founding Engineer Intern , you'll work shoulder-to-shoulder with the CTO and founding team to ... This is an internship position at a pre-seed AI startup in the HR tech / talent acquisition space.

Clera

Founding Engineer Intern

San Francisco, CA · On-site

As a Founding Engineer Intern , you'll work shoulder-to-shoulder with the CTO and founding team to ... This is an internship position at a pre-seed AI startup in the HR tech / talent acquisition space.

SkyGig

RFIC Design Intern

San Jose, CA

This internship is ideal for a student with strong fundamentals in analog/RF circuit design who ... Responsibilities As an RFIC Design Engineer Intern, you will: * Assist with the design and ...

SkyGig

RFIC Design Intern

San Jose, CA · On-site

This internship is ideal for a student with strong fundamentals in analog/RF circuit design who ... Responsibilities As an RFIC Design Engineer Intern, you will: * Assist with the design and ...

KASTLE

Software Engineer - Intern

San Francisco, CA

About the Role We're looking for a Software Engineer Intern who is excited to build products that ... Experience building personal projects, coursework, hackathon projects, or previous internships.

Brilent

Software Engineer Intern

San Mateo, CA · On-site

We are building the next-generation, big data talent platform that aims to revolutionize the hiring ... As a software engineering intern, you will work alongside our small team of engineers to create new ...

Exa

Software Engineer, Intern

San Francisco, CA · On-site

$100K - $150K/yr

As an engineering intern, you'd play a critical role in lots of our projects. We're pretty flexible ... Remote and part-time interns are not accepted. * You have experience with some high performance ...

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Internship Data Engineer Intern information

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

To thrive as an Internship Data Engineer Intern, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by coursework or projects in computer science or data engineering. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data visualization software is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn quickly. These competencies ensure interns can contribute to data projects, adapt to new technologies, and support data-driven decision-making.

What does a data engineer intern do?

A Data Engineer Intern assists in designing, building, and maintaining the infrastructure needed to collect, store, and analyze data. They typically work with large datasets, helping to ensure data is clean, well-organized, and accessible for analytics or business needs. Interns often collaborate with data scientists and software engineers, learning key skills such as data modeling, ETL (extract, transform, load) processes, and using tools like SQL, Python, and cloud platforms. The role provides hands-on experience in building data pipelines and understanding how data drives decision-making in organizations.

What is the difference between Internship Data Engineer Intern vs Data Engineer?

AspectInternship Data Engineer InternData Engineer
Required CredentialsEnrolled in or recent graduate of a related degree (e.g., Computer Science, Data Science)Bachelor's or higher in Computer Science, Data Engineering, or related field; often requires experience or certifications
Work EnvironmentInternship setting, supervised, part-time or full-time during studiesFull-time professional role, often in a team managing data pipelines and infrastructure
Employer & Industry UsageUsed by tech companies, startups, and organizations offering training opportunitiesUsed across industries like tech, finance, healthcare, and more for data management and analytics

The Internship Data Engineer Intern position is an entry-level, temporary role designed for students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for building and maintaining data systems. The internship provides foundational exposure, while the Data Engineer role involves ongoing, complex data infrastructure work.

What types of projects and technologies can I expect to work with as a data engineer intern?

As a Data Engineer Intern, you can expect to work on projects involving the development, testing, and maintenance of data pipelines and databases. You'll likely use technologies such as SQL, Python, and cloud platforms like AWS or Azure, depending on the company's stack. Interns often assist with data cleaning, integration, and transforming raw data into usable formats for analytics teams. Collaboration with data scientists, analysts, and senior engineers is common, providing valuable exposure to real-world workflows and teamwork in a data-driven environment.

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

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

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

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

What cities in California are hiring for Internship Data Engineer Intern jobs?

Cities in California with the most Internship Data Engineer Intern job openings:

Internship Data Engineer Intern jobs near you
Infographic showing various Internship Data Engineer Intern 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 Intern

Qeexo, Co.

San Clemente, CA • On-site

$25/hr

Internship

Re-posted 4 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
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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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