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Part Time Data Engineering 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 ...

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 ...

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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Part Time Data Engineering information

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 are the most commonly searched types of Data Engineering jobs in California?

The most popular types of Data Engineering jobs in California are:

What are popular job titles related to Part Time Data Engineering jobs in California?

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

What job categories do people searching Part Time Data Engineering jobs in California look for?

The top searched job categories for Part Time 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:

Infographic showing various Part Time Data Engineering job openings in California as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.

Part-time

Posted 6 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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