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Part Time Data Engineering Jobs in California (NOW HIRING)

BadVR, Inc.

Node.JS Developer (Part-Time)

Los Angeles, CA · Remote

$40 - $50/hr

Role Summary BadVR is looking for a part-time hourly Node.js developer to help maintain and extend ... BadVR brings data into high-definition, making it easier to discover and identify hidden problems ...

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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.

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 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.

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
Part-time Faculty, B.S. Manufacturing Design Engineering Technology

Part-time Faculty, B.S. Manufacturing Design Engineering Technology

National University

San Diego, CA • On-site

$26.63 - $28.89/hr

Part-time

Posted 19 days ago

Job description

Compensation Range:
Hourly: $26.63 - $28.89
National University - San Diego, California
Part-time Faculty: B.S. Manufacturing Design Engineering Technology
Location: Hybrid: San Diego, CA
National University is a veteran-founded, San Diego-based nonprofit. Since 1971, our mission has been to provide accessible higher education to adult learners. Today, we educate a diverse student body from across the U.S. and around the globe, with more than 230,000 alumni worldwide. Our three schools and three colleges offer more than 200 accredited and licensed graduate and undergraduate programs. National University holds accreditation through the Western Senior College and Universities Commission (WSCUC).
Position Summary
The Department of Engineering, Data, and Computer Sciences, in the College of Business, Engineering and Technology at the National University invites applications for part-time faculty with a specialization in Manufacturing Design Engineering Technology. The successful candidate will have a demonstrated record of, or potential for excellence in, the following: teaching in their field, a commitment to serving the university's diverse adult student body, and related scholarship and/or researchThis position primarily works closely with the Academic Program Director and other faculty within the program and contributes to ensuring program quality, student engagement, and success.
Essential Job Duties:
  • Provide substantive, timely feedback to students on various assessment activities.
  • Maintain a positive, safe, inclusive student-centric learning environment.
  • Complete required tasks on deadlines (e.g., final grades, assessment, grading rubrics, input for grade appeals, etc.)
  • Maintain appropriate professional training and/or scholarly activities, when applicable.
  • Provide feedback to the course lead regarding the course content.
  • Identify at-risk students and collaborate with student services.

Qualifications:
Required:
  • MS in Mechanical Engineering or very closely related field required. Degree must be from a regionally accredited university.
  • Significant expertise in the use of SolidWorks, AutoCAD, and MATLAB software in Design Engineering required. Experience in teaching use SolidWorks, AutoCAD and MATLAB desired.
  • 3 years of industry experience in designing, engineering and manufacturing complex engineering devices, product life cycles and engineering systems products preferred.
  • 3 years of higher education teaching experience preferred teaching adult learners the theoretical foundations, hands-on experience, and teaming skills required for effective conceptual, logistical, developmental, and interdisciplinary design of complex engineering devices, product life cycles, and engineering systems.
  • Other: Significant expertise required in two or more of the following areas: materials and manufacturing; human factors in engineering; reliability engineering; product design optimization; concurrent design engineering; and design and analysis of experiments

Preferred:
  • PH.D. in Manufacturing Design or very closely related field strongly preferred.

For full consideration, interested candidates should provide the following.
  • A cover letter.
  • A curriculum vita.
  • Statement of teaching experience online and/or onsite for a diverse student body

#LI-Hybrid
Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate's qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University's total rewards package, as we are dedicated to supporting the needs of the "whole you" with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For part-time positions, please click here.
National University is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a mix of highly talented, innovative, and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University.

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