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Computer Science Intern Jobs in Irvine, CA (NOW HIRING)

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 ... Currently pursuing a Bachelor's or Master's degree in: • Computer Science • Data Engineering ...

Medtronic

Software Engineering Intern - Summer 2027

Irvine, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Computer Science,or a related engineering major withan anticipatedgraduation date of Winter 2027 ... Ability toparticipatefull time,40 hoursper week, as part of the intern cohort fromJune 1-August ...

Medtronic

Software Engineering Intern - Summer 2027

Irvine, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Computer Science,or a related engineering major withan anticipatedgraduation date of Winter 2027 ... Ability toparticipatefull time,40 hoursper week, as part of the intern cohort fromJune 1-August ...

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Computer Science Intern information

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How much do computer science intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for computer science intern in Irvine, CA is $20.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.54 and $24.82 per hour, depending on experience, location, and employer.

What is a computer science intern?

A Computer Science Intern is a temporary position where students or recent graduates gain hands-on experience in software development, data analysis, cybersecurity, or other computing fields. Interns typically assist with coding, debugging, research, and testing while working under the guidance of experienced professionals. This role helps build technical skills, industry knowledge, and networking opportunities, preparing interns for full-time positions in the tech industry.

What kind of projects and tasks can I expect as a computer science intern?

As a Computer Science Intern, you can expect to work on a variety of tasks such as writing and testing code, debugging software, supporting ongoing development projects, and collaborating on team-based assignments. Interns often contribute to designing features, fixing bugs, conducting research, or assisting in quality assurance under the guidance of senior engineers or mentors. The exact nature of your projects may vary based on the company and team, but you will typically gain hands-on experience with real-world software development tools and workflows. This exposure not only builds your technical skills but also helps you understand agile work environments and best practices, making it a valuable step toward a full-time role in the field.

What are the most commonly searched types of Computer Science jobs in Irvine, CA?

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Computer Science Intern jobs near you
Infographic showing various Computer Science Intern job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $41,965 per year, or $20.2 per hour.

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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