ZipRecruiter

Log In

2

Part Time Data Engineer Jobs in California (NOW HIRING)

Bruker

Title Quality Engineer

Santa Barbara, CA · On-site

$80K - $103K/yr

Address 112 Robin Hill Road Type Employee Full Time/Part Time Full Time Overview Join a Global ... Owning the process, documentation, and PLM tool Processing NCM data into databases (SAP) Managing ...

Apple

Display Metrology Engineer

Cupertino, CA

$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 ...

Lumbee Tribe Holdings, Inc.

Network Engineer

Oceanside, CA · On-site

$100K - $125K/yr

... part-time and is scheduled to work standard business hours from 8:00 a.m. to 5:00 p.m. Overtime is ... proprietary data and ensure unbiased analysis. Essential Position Functions * Five years ...

Bechtel

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 ...

ATA Engineering, Inc

Engineering Software Programmer

CA · On-site

$85K - $125K/yr

Must have interest in engineering design, analysis, and data management processes. * Experience ... No contractors or part-time applications will be accepted. * Excellent verbal and written ...

Walmart

Staff, Machine Learning Engineer

Sunnyvale, CA · On-site

$130K - $260K/yr

A successful candidate will have an established hands-on data science, AI, ML experience in driving ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

previous page

Showing results 41-60

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

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 Aug 22, 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 are popular job titles related to Part Time Data Engineer jobs in California?

For Part Time Data Engineer jobs in California, the most frequently searched job titles 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:

Part Time Data Engineer jobs near you
Infographic showing various Part Time Data Engineer job openings in California as of August 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.

Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming

University of San Diego

San Diego, CA • On-site

$40 - $44/hr

Part-time

Re-posted 28 days ago

University Of San Diego rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

461st of 621 rated colleges and universities

Job description

Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming
Posting #: 5233
Position Status: Faculty, Part-time temporary
Location: San Diego
Position Type: Faculty, Continuing Education
Position Title & Department:
Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming
Posting #
5233
University Description:
The University of San Diego, an engaged and contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity's urgent challenges.
Detailed Description:
The University of San Diego's Professional and Continuing Education department is seeking an adjunct faculty member with mastery in the application of artificial intelligence for coding and programming for business solutions. This role involves teaching and developing online courses as part of our Artificial Intelligence for Business Solutions program. The program includes twelve courses, each worth 1 unit. Courses are delivered in an online, self-paced format, with students having six months to complete each four-week course.
Job Duties and Responsibilities:
  • Teaching: Delivering course content, assessing student progress through formal and informal assessments, holding office hours, meeting deadlines for submitting grades and attendance, and adhering to safety procedures and departmental standards.
  • Development: Collaborating with the Learning Design Team to create and develop courses in our learning management system, ensuring timely delivery of course materials.

Work Mode: Entirely remote
Work Schedule: Online as needed
Background check: Successful completion of a pre-employment background check.
Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes.
Job Requirements:
Specific Required Skills:
  • Proficiency in programming languages such as Python, Java, and R.
  • Expertise in machine learning algorithms and data structures.
  • Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Ability to develop and implement AI models for business applications.
  • Knowledge of cloud computing platforms (e.g., AWS, Azure) for deploying AI solutions.
  • Strong analytical and problem-solving skills.
  • Familiarity with data preprocessing and visualization techniques.
  • Understanding of ethical considerations in AI and data privacy.

Required Qualifications:
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (e.g., Mathematics with a focus on algorithms, data structures, and programming languages such as Python, Java, and R).
  • Working knowledge of generative AI techniques.
  • Minimum of two years of full-time professional experience in AI, coding, and programming.

Preferred Qualifications:
  • Experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineering, Data Management, and Analysis.
  • Cloud computing experience.
  • Familiarity with the Canvas learning management system.

Eligibility:
  • Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position.

Posting Salary:
$40-44/hour
The salary range provided in this posting reflects what we reasonably expect to pay for this position. Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget.
Special Application Instructions:
Click the 'Apply Now' button to complete our online application. In addition, please upload a cover letter and resume to your application profile for the hiring managers' review.
Contact: Andrew Drotos, adrotos@SanDiego.edu
If you have any technical questions or difficulties please contact the Employment Services Team at jobs@sandiego.edu.
Additional Details:
Note: External job postings will be up for at least three days. After that time, applications will be reviewed by the hiring manager/committee throughout the posting period. A candidate may be selected at any time which could then close this posting on a date earlier than listed.
The University of San Diego is a smoking and tobacco-free campus. For more information, visit www.sandiego.edu/smokefree.
Advertised: May 02, 2025 Pacific Daylight Time
Applications close:
Whatsapp Facebook LinkedIn Email App

What University Of San Diego employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply