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Tech Data Engineer Jobs in California (NOW HIRING)

Data Engineer

San Diego, CA ยท On-site

$121K - $146K/yr

* Data Engineer Contract 40 hours weekly, 12+ months This is a Flex position with the potential to ... High-quality, accessible, and connected data enables faster technology development, deeper system ...

Data Platform Engineer

La Mirada, CA ยท On-site

$115K - $138K/yr

Bachelor's degree in computer science, Information Technology, Data Engineering, Information Systems, or related field preferred. 5+ years of experience in database engineering, data platform ...

Data Engineer

San Diego, CA ยท On-site

$121K - $146K/yr

High-quality, accessible, and connected data enables faster technology development, deeper system ... and engineers to use high-quality data at scale. You will also define practical architecture ...

Data Engineer

Bay Point, CA ยท On-site

$125K - $151K/yr

... IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are ... Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with ...

Data Engineer

Sunnyvale, CA ยท On-site

$75 - $85/hr

Data Engineer Location: Sunnyvale, California (Onsite) Contract: 6 -12+ Months Experience: 12 - 15 ... a leading technology client in Sunnyvale, California. The ideal candidate will have strong ...

Data Engineer II

San Jose, CA ยท On-site

$134K - $161K/yr

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer , you will have the ability to share new ideas and ...

Data Engineer II

San Francisco, CA ยท On-site

$134K - $162K/yr

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer , you will have the ability to share new ideas and ...

Data Engineer II

Sacramento, CA ยท On-site

$122K - $146K/yr

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer , you will have the ability to share new ideas and ...

Data Engineer II

Fresno, CA

$113K - $136K/yr

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer , you will have the ability to share new ideas and ...

Data Engineer II

Costa Mesa, CA ยท On-site

$122K - $147K/yr

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer , you will have the ability to share new ideas and ...

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Data Engineer

Irvine, CA ยท On-site

$100K - $115K/yr

Data Engineer with a client at Irvine, CA Contract to hire. Position Summary The Engineer, Data ... and cloud technologies. This role partners with business and technical stakeholders to deliver ...

Sr Data Engineer

San Francisco, CA ยท On-site

$148K - $199K/yr

Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance ...

Data Engineer

Sunnyvale, CA ยท On-site

$136K - $163K/yr

Data Engineer Location: Sunnyvale, CA. Direct Client: Req. Key Qualifications: * Data Engineer ... Ability to learn and adapt to new tools and technologies. * Should possess analytical and ...

Sr Data Engineer

Santa Monica, CA ยท On-site

$148K - $199K/yr

Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance ...

Sr Data Engineer

Santa Monica, CA ยท On-site

$148K - $199K/yr

Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance ...

Sr Data Engineer

San Francisco, CA ยท On-site

$148K - $199K/yr

Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance ...

Showing results 41-60

Tech Data Engineer information

What is the difference between Tech Data Engineer vs Data Analyst?

AspectTech Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentData pipelines, cloud platforms, scripting, database managementData visualization, reporting, statistical analysis
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, consulting, finance, tech

Tech Data Engineers focus on building and maintaining data infrastructure, pipelines, and cloud integration, while Data Analysts interpret data to generate insights and reports. Both roles require strong technical skills but serve different functions within data management and analysis.

What cities in California are hiring for Tech Data Engineer jobs?

Cities in California with the most Tech Data Engineer job openings:

Data Engineer

San Diego, CA โ€ข On-site

GCR Professional Services
Recruiting and Staffing Servicesย โ€ขย 11 - 50 employees

$121K - $146K/yr

Full-time, Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

  • Data Engineer
    Contract 40 hours weekly, 12+ months 
    This is a Flex position with the potential to convert to a regular full-time position based on business needs, individual performance, and organizational priorities.
     

Job Mission

Join a pioneering research organization developing next-generation lithography light source technologies. Our laser-produced plasma (LPP) system combine high-power lasers, advanced optics, plasma-based EUV generation, sensing, controls, and physics-based modeling to address some of the most complex challenges in semiconductor manufacturing.
 

As Source Research continues to expand its use of data-driven engineering, machine learning, simulation and physics-based modeling, a scalable and well-governed data ecosystem has become essential. High-quality, accessible, and connected data enables faster technology development, deeper system understanding, more effective trade studies, and better-informed technology and roadmap decisions.

In this role, you will help shape the data foundation that supports research and development activities across Source Research. Working closely with lab owners and experimental, modeling, and ML scientists, you will build and improve data pipelines, integrate diverse data sources, and enable reliable access to research data at scale. You will also help establish practical architecture standards and best practices that ensure our data platform remains scalable, secure, maintainable, and aligned with the broader data landscape.
his role combines hands-on development with technical leadership in shaping the data foundation for Source Research. You will build, operate, and continuously improve data pipelines, integrating new data sources, improving reliability, and enabling scientists and engineers to use high-quality data at scale. You will also define practical architecture standards that keep the platform consistent, secure, future-ready, and aligned with clients data landscape.
 

  • Work independently and collaboratively to deliver on objectives, whether exploring new data sources, building new capabilities, or characterizing existing system performance.
  • Be willing to work extended hours and second shift as needed.
  • Perform other duties as assigned or required

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Math, Data Science, or a related field.

• 10+ years of relevant experience in data engineering, data architecture, or scientific/engineering data platforms.

• Strong hands-on development experience in Python and modern data engineering tooling.

• Proven experience building and operating scalable big data pipelines, analytics platforms, and data products that support data-intensive scientific and engineering workflows.

• Experience with cloud and distributed data platforms such as Azure, Azure Databricks, Apache Spark, Kubernetes, and data lake architectures.

• Solid understanding of data modeling, metadata management, data lineage, data quality, governance, security and access control.

• Experience supporting scientific or engineering workflows (for example simulation, HPC, instrumentation, or time-series sensor data).

• Familiarity with AI/ML workflows and MLOps practices is a plus.

• Strong communication and collaboration skills, with the ability to translate technical details into clear and actionable guidance.