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Part Time Data Engineer Jobs in California (NOW HIRING)

Experience in optical instrumentation, data collection, and automation using MATLAB, Python, C/C ... Experience in high-volume electronics manufacturing (optical preferred), including Six Sigma, P/T ...

Student Engineer

San Diego, CA ยท On-site

$18.75 - $22.46/hr

... analysis, data compilation, data analysis using a computer, construction materials testing ... Student Engineer employees work on a part-time basis determined by the needs of the department and ...

Explainable AI Engineer

Palo Alto, CA ยท Remote

$122K - $165K/yr

Automation of data management towards scalability * Aerospace grade V&V for mission critical ... You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least ...

Display Metrology Engineer

Cupertino, CA ยท On-site

$184K - $324K/yr

Strong quantitative data & image analysis skills utilizing JMP, MATLAB, or similar tools ... Experience in high-volume electronics manufacturing (optical preferred), including Six Sigma, P/T ...

Travel to project sites for engineering site surveys, data collection for power system studies ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Analyze ground and flight test data to identify performance trends, anomalies, root causes, and ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Flight Test Engineer (R5898)

San Diego, CA ยท On-site

$115K - $215K/yr

Analyze ground and flight test data to identify performance trends, anomalies, root causes, and ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Telework Type: Part-Time Telework * Work Location: Brisbane, QLD Extraordinary teams building ... The role provides hands-on technical support for modern data platform delivery in Engineering ...

Showing results 41-60

Part Time Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do part time data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for part time data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a part time data engineer?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What types of projects and responsibilities can I expect as a part time data engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

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

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible schedules are increasingly common in this field.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or database management that can be performed online. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or on-site access to certain tools or data.

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

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

What job categories do people searching Part Time Data Engineer jobs in California look for?

The top searched job categories for Part Time Data Engineer jobs in California are:

What cities in California are hiring for Part Time Data Engineer jobs?

Cities in California with the most Part Time Data Engineer job openings:

Infographic showing various Part Time Data Engineer job openings in California as of September 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

AI Software Engineer Expert - Remote

Los Angeles, CA โ€ข Remote

$100 - $200/hr

Part-time

Re-posted 2 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.