Cloud Data Engineer Jobs in California
Cloud Data Engineer jobs in California are among the most actively recruited technology roles in the country, concentrated in enterprise software, fintech, healthcare technology, and streaming media across experience levels from entry-level analyst through principal engineer. The largest hiring markets are the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Salesforce, and Kaiser Permanente maintain deep and ongoing cloud data engineering needs. The most in-demand specialties right now are cloud-native pipeline architecture, real-time streaming with Apache Kafka, and multi-cloud governance on AWS and Google Cloud Platform. Find a role that fits below and apply directly.
Find Cloud Data Engineer JobsOverview
Showing 5 of 28+ Cloud Data Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in Python or C++.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in Python or C++.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.
See All 28 Cloud Data Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Cloud Data Engineer JobsCloud Data Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Cloud Data Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Manufacturing
- Fashion & Apparel
- Electronics & Hardware
- Consulting & Professional Services
What California Employers Look For
The qualifications that appear most often in cloud data engineer jobs across California.
- Bachelor's degree in computer science, data engineering, or a closely related technical field
- Hands-on experience building and maintaining cloud data pipelines on AWS, GCP, or Azure
- Proficiency in Python or Scala for data processing and workflow orchestration
- Practical knowledge of Apache Spark, Apache Kafka, or equivalent distributed processing frameworks
- Experience with modern data warehousing platforms such as BigQuery, Snowflake, or Redshift
- Familiarity with data governance, pipeline monitoring, and infrastructure-as-code tooling like Terraform
Cloud Data Engineer Jobs in California: Frequently Asked Questions
How do you become a cloud data engineer in California?
Cloud data engineering in California has no state-issued license or board exam, so the path runs through education and certifications recognized by employers. Most California hiring managers expect a bachelor's degree in computer science, data engineering, or a related field, though candidates with associate degrees and strong portfolio projects do break in. Vendor certifications from Google Cloud, AWS, or Microsoft Azure carry real weight in California's market and can substitute for degree gaps at many employers.
How much do cloud data engineers make in California?
Cloud data engineers in California earn a median of about $170,160 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $101,200 for the lowest 10% to over $227,900 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire cloud data engineers in California?
Employers hiring cloud data engineers in California right now include Google, Rippling, and Picarro, based on current listings on Migrate Mate as of September 2026. California's density of cloud-first technology companies and large enterprise headquarters means openings surface across a wider range of industries than most states, including healthcare systems, financial services firms, and entertainment studios.
Which California cities have the most cloud data engineer jobs?
San Francisco, Sunnyvale, and San Jose account for the largest share of cloud data engineer openings in California. The Bay Area leads because of its concentration of cloud platform companies, enterprise software headquarters, and venture-backed data startups, while Los Angeles and San Diego draw demand from media and entertainment technology, biotech, and fintech employers that have built out substantial data infrastructure teams.
Are there remote cloud data engineer jobs in California?
Yes, and more than most fields. About 67% of cloud data engineer openings tied to California are remote or hybrid as of September 2026, reflecting how well the work translates to distributed environments. Pipeline development, data modeling, and infrastructure work are the functions most consistently offered as fully remote, while roles that require close coordination with on-site data centers or regulated healthcare systems tend to require at least partial in-office presence.
How can I get hired as a cloud data engineer in California with little or no experience?
The most realistic entry path is a lateral move from a data analyst or software engineering role where you can demonstrate hands-on work with cloud tools. Large California employers like Google, Apple, and Kaiser Permanente run associate and rotational engineering programs that accept candidates without prior cloud data titles. Building a public portfolio using Google Cloud's free tier, completing the Google Professional Data Engineer certification, and targeting junior data engineer or data platform associate postings at California technology and healthtech companies are the steps that produce the most traction.
Where can I find and apply to cloud data engineer jobs in California?
You can find and apply to cloud data engineer jobs in California on Migrate Mate, which lists current openings tied to California employers and updates regularly. Find the roles that fit your experience and apply directly through the listings.
See All 28 Cloud Data Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Cloud Data Engineer Jobs