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Part Time Data Engineering Jobs in California (NOW HIRING)

Ametek

Firmware / Software Engineering Intern

San Diego, CA · On-site

$26 - $30/hr

Ideal candidate will be able to work full-time during the Summer Break (8 weeks) and part-time when ... Implement lab test setups, collect and analyze test data, and document results during verification ...

New

Arcadis

Data Center Scheduler

San Jose, CA · On-site

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

iHeartMedia

Board Operator - Part Time

Burbank, CA

Operate control board for studios and remote programming * Regulate program timing, operate ... data. $18.42 Location: Burbank, CA: 3400 West Olive Avenue, Suite 550, 91505 Position Type: Regular ...

SLB

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/yr

Full-time or part-time: Full-time Job title: AI Solutions Architect Job Location: 640 W California ... data analytics, machine learning algorithms, and optimization methods. Work with software engineers ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in California

Part Time Data Engineering information

What are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

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 Part Time Data Engineering jobs? Cities in California with the most Part Time Data Engineering job openings:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering 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.
Manufacturing Engineer - Intern

Manufacturing Engineer - Intern

Regal Technology Partners Inc

Santa Ana, CA • On-site

$17.50 - $22.50/hr

Full-time, Part-time, Internship

Posted 13 days ago

Job description

Position Title: Intern - Manufacturing Engineer
Department: Engineering
Location: Santa Ana, CA
FLSA Status: Non-Exempt, Full-Time/Part-Time (Temporary)
Internship Type: Paid
Job Summary:
This role offers a unique opportunity to work directly with our engineering and production teams on meaningful projects that impact daily operations. From supporting the implementation of lean initiatives to analyzing production workflows and helping resolve real-time manufacturing challenges, this internship is designed to provide hands-on experience that builds both technical knowledge and problem-solving skills in a high-tech manufacturing environment.
Key Responsibilities:
• Assist with process improvement initiatives to enhance manufacturing efficiency and reduce waste.
• Support the development and maintenance of standard operating procedures (SOPs) and work instructions.
• Participate in time studies, workflow analysis, and data collection to support production improvements.
• Collaborate with cross-functional teams, including Quality, Production, and etc.
• Assist in troubleshooting production issues and identifying root causes.
• Create and update documentation such as engineering change orders (ECOs) and technical reports.
• Support implementation of lean manufacturing principles and continuous improvement strategies.
• Perform other engineering-related tasks and projects as assigned.
Qualifications:
• Currently pursuing a Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, or a related field.
• Strong analytical and problem-solving skills.
• Basic knowledge of manufacturing processes, lean principles, and quality systems.
• Proficient in Microsoft Office Suite (Excel, Word, PowerPoint).
Physical Requirements:
• Ability to stand for long periods and occasionally lift up to 25 lbs.
• Manual dexterity to handle small components and operate equipment.
This job description is intended to provide a clear overview of the primary duties and responsibilities for the Manufacturing Engineer (Intern) position. It is not an exhaustive list, and other tasks may be required as needed to support the company's operations.
Regal Technology Partners is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local laws. We strive to create an inclusive and diverse work environment where everyone is valued and respected.
If you require any accommodation during the application process or have any questions regarding our EEO policies, please contact Human Resources, hr@regaltechnology.com

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