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Part Time Data Engineering Jobs in California (NOW HIRING)

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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.

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.
Robotics Engineering Co-Op Internship

Robotics Engineering Co-Op Internship

Sorting Robotics

Los Angeles, CA • On-site

$25/hr

Full-time, Part-time, Internship

Re-posted 11 days ago

Job description

Job description

Sorting Robotics Inc. is excited to offer a Robotics Engineering Internship for enthusiastic individuals looking to gain hands-on experience in the rapidly evolving field of robotics, specifically within the cannabis industry. This job is for a part time or full time Co-Op Role that will last 6 months.

Preferred: Must be comfortable with cannabis (preferred you enjoy it and have experienced it) as we manufacture robotic innovations for the legal cannabis market in the US and Canada.

RESPONSIBILITIES

  • Assisting in the design, testing, and development of robotic systems.
  • Working closely with engineering teams to troubleshoot and improve existing robotic technologies.
  • Participating in prototype assembly and integration.
  • Supporting data collection and analysis to refine robotic performance.
  • Documenting experiments, processes, and results to contribute to project reports.
  • Engaging in team meetings to discuss project updates and share insights.

If you have a passion for robotics and are eager to learn and contribute to innovative projects, we encourage you to apply!

You can view our website at www.sortingrobotics.com

Requirements

QUALIFICATIONS

  • Pursuing a degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
  • Basic knowledge of robotic systems and programming languages (Python, C++, etc.).
  • Strong analytical and problem-solving skills.
  • Ability to work effectively in a team environment.
  • Excellent communication skills, both written and verbal.
  • Willingness to learn and take on new challenges.
  • Proof of Covid-19 Vaccination

Work Location: On-site

Work Hours: Flexible, part-time hours available

Applicants for this internship must be legally authorized to work in the United States and have proof of COVID-19 vaccination records.

Benefits

$25/hr and free lunches.