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Part Time Data Engineer Jobs in California (NOW HIRING)

Telework Type: Part-Time Telework * Work Location: Brisbane, QLD Extraordinary teams building ... Engineering, Procurement and Construction (EPC) environments. Works with enterprise teams and ...

Knowledge of AI engineering * Possession of strong analytical, problem-solving, and critical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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Showing results 1-20

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 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 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

Posted 5 days ago


Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

286th of 449 rated engineering


Job description

Requisition ID: 298077 

  •  Relocation Authorized: None 
  • Telework Type: Part-Time Telework 
  • Work Location: Brisbane, QLD
Extraordinary teams building inspiring projects:

Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place. 

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations. 

Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report. 

Job Summary:

The Data and Analytics Senior role is responsible for planning, implementing, and optimising solutions that support work process and data management within Bechtel proprietary systems, as well as Databricks, Microsoft Fabric, and the broader Microsoft Azure ecosystem.  The role provides hands-on technical leadership and support for modern data platform delivery in Engineering, Procurement and Construction (EPC) environments.  Works with enterprise teams and within existing and emerging governance and security frameworks and aligns with ongoing enterprise initiatives for the various data management platforms.

"This position is designated as part-time telework per our global telework policy and may require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership” 

Major Responsibilities:
  • Works directly with business groups and project teams to understand requirements use cases, documents systems design and coordinates team members to implement scalable and interconnected systems that support data analytics, business intelligence, artificial intelligence, and management reporting
  • Utilises existing workspaces and governance to enable robust, secure, and cost-effective use of both on-premises and cloud data platforms
  • Supports the development of internal Bechtel resources who have an interest in building practical skills in Databricks, Microsoft Fabric, Azure data engineering, and modern analytics platform delivery
  • Builds, implements and optimises ETL and ELT pipelines using Databricks, Fabric Data Factory, Dataflows Gen2, pipelines, notebooks, and Python
  • Implements reusable ingestion, transformation, validation, and orchestration frameworks for data sources, including engineering registers, tag data, vendor data, procurement packages, material tracking, construction work packages, progress quantities, schedule data, cost data, and completions records
  • Supports migration from legacy data sources, SQL platforms, etc. to Databricks and Microsoft Fabric, with consideration for master data, and lifecycle handover requirements
  • Meets regularly with team members and stakeholders, including Project Managers, information and digital teams, innovation and AI teams, to confirm direction and deliverables timing and report progress
  • Supports an innovation culture, seeking opportunities to improve processes, to standardise data and to promote AI methodologies.
Required Knowledge and Skills:

The role requires a blend of individual leadership, customer service, and analytical and technical skills.  Key attributes you bring to this role include:

  • Hands-on experience with complex data management systems, Databricks, Microsoft Azure Data Lake Services (ADLS), Microsoft Fabric, OneLake, Power BI and associated technologies
  • Ability to quickly learn Bechtel-specific work processes and integrated systems
  • Knowledge of modern data architecture patterns, including Lakehouse, medallion architecture, data mesh concepts, dimensional modelling, and enterprise data warehousing
  • Ability to partner with project teams to review and understand end-to-end work processes and planning to support study and project execution
  • Knowledge of work processes, applications and data integration to a level which allows development of clear documentation and articulation of plans that support project execution
  • Able to translate technical information into practical terms for discussion and presentation to broad audiences
  • Demonstrates a strong safety focus and value the development and maintenance of customer relationships that clearly define expectations and responsibilities.
Education and Experience Requirements:
  • 8+ years of industry experience gained through a recognised degree in a STEM-related field, and / or specialised courses in Engineering, IT or related fields, and / or 10+ years’ work experience in a STEM-related field.  2+ years of ETL, Databricks, Microsoft Fabric, ADLS experience.
Total Rewards/Benefits:

For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive.  Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards

Diverse teams build the extraordinary:

As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.

We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.

Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com


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