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Part Time Data Engineering Jobs in Pittsburg, CA

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Junior DevOps Engineer

San Francisco, CA · On-site +1

$62.25 - $85/hr

... on a part-time basis. In this role, you will work closely with our DevOps team to support and ... and data - Work with development teams to ensure smooth integration and deployment of new ...

OmniAb

Animal Technician (Part-Time)

Dixon, CA · On-site

$25 - $27/hr

This role reports to the Senior Engineer, Animal Facility. This is an onsite position based out of ... Collect data daily and enter the data into databases. * Follow standard operating procedures (SOPs ...

OmniAb

Animal Technician (Part-Time)

Dixon, CA · On-site

$25 - $27/hr

This role reports to the Senior Engineer, Animal Facility. This is an onsite position based out of ... Collect data daily and enter the data into databases. * Follow standard operating procedures (SOPs ...

3Vi

Administrative Assistant (Part-time)

San Ramon, CA · On-site

$25/hr

... engineering leadership and operations teams with administrative coordination and general office ... data entry, administrative filings, and document organization * Assist with company phone coverage ...

3VI

Administrative Assistant (Part-time)

San Ramon, CA · On-site

$25/hr

... engineering leadership and operations teams with administrative coordination and general office ... data entry, administrative filings, and document organization * Assist with company phone coverage ...

RocketRide Inc.

AI Developer Intern

San Francisco, CA · On-site

$22.75 - $29.75/hr

San Francisco (Hybrid) | Part-time or Full-time, 3 months, with potential to convert About ... You'll collaborate closely with our engineering team to design, build, and ship AI-powered ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Pittsburg, CA

Part Time Data Engineering information

See Pittsburg, CA salary details

$49.5K

$144.2K

$197.3K

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

As of Aug 18, 2026, the average yearly pay for part time data engineering in Pittsburg, CA is $144,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $152,800.00 per year, depending on experience, location, and employer.

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 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 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.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What job categories do people searching Part Time Data Engineering jobs in Pittsburg, CA look for?

The top searched job categories for Part Time Data Engineering jobs in Pittsburg, CA are:

What cities near Pittsburg, CA are hiring for Part Time Data Engineering jobs?

Cities near Pittsburg, CA 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 Pittsburg, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $144,184 per year, or $69.3 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

San Francisco, CA • Remote

$100 - $200/hr

Part-time

Posted 7 days ago

Job description

Job Title: AI Data Science Domain Expert

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

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.