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.
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Showing 5 of 27+ Cloud Data Engineer jobs
Minimum qualifications:
- Master's degree in Statistics, Engineering, Sciences, a related quantitative discipline, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5 years of experience in a data science role, with a specific focus on machine learning and Natural Language Processing (NLP) for developing and deploying AI/ML solutions.
- Experience programming in Python or a similar language, along with relevant ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
- Experience with Large Language Models (LLMs), including their application in solving business problems.
- Ability to translate complex data into actionable insights and communicate findings to technical and non-technical stakeholders.
About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. You will deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.
As a Data Scientist, you will focus on Artificial Intelligence to join our team. You will be instrumental in driving customer success at scale by building the predictive, personalized, and proactive solutions that define the future of customer support. You will work with large datasets to develop and deploy innovative ML/AI solutions, translating complex data into actionable strategies.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive customer success at scale by developing predictive, personalized, and proactive customer support solutions.
- Lead the end-to-end development and deployment of advanced AI/ML solutions, with a strong emphasis on Large Language Models and intelligent autonomous agents, addressing complex business challenges.
- Implement robust evaluation frameworks and metrics for LLMs and AI agents, encompassing both traditional model performance and agent-specific evaluation criteria (e.g., task completion rate, reasoning quality).
- Monitor and maintain deployed LLM and AI agent solutions in production, including tracking key performance indicators, identifying and addressing model drift, and ensuring system stability and scalability.
- Identify AI/ML opportunities by collaborating closely with stakeholders to understand business needs and translate them into technical requirements and measurable outcomes. Proactively research and integrate advancements in LLMs, generative AI, and AI agent architectures to continuously enhance our capabilities.
Minimum qualifications:
- Master's degree in Statistics, Engineering, Sciences, a related quantitative discipline, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5 years of experience in a data science role, with a specific focus on machine learning and Natural Language Processing (NLP) for developing and deploying AI/ML solutions.
- Experience programming in Python or a similar language, along with relevant ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
- Experience with Large Language Models (LLMs), including their application in solving business problems.
- Ability to translate complex data into actionable insights and communicate findings to technical and non-technical stakeholders.
About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. You will deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.
As a Data Scientist, you will focus on Artificial Intelligence to join our team. You will be instrumental in driving customer success at scale by building the predictive, personalized, and proactive solutions that define the future of customer support. You will work with large datasets to develop and deploy innovative ML/AI solutions, translating complex data into actionable strategies.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive customer success at scale by developing predictive, personalized, and proactive customer support solutions.
- Lead the end-to-end development and deployment of advanced AI/ML solutions, with a strong emphasis on Large Language Models and intelligent autonomous agents, addressing complex business challenges.
- Implement robust evaluation frameworks and metrics for LLMs and AI agents, encompassing both traditional model performance and agent-specific evaluation criteria (e.g., task completion rate, reasoning quality).
- Monitor and maintain deployed LLM and AI agent solutions in production, including tracking key performance indicators, identifying and addressing model drift, and ensuring system stability and scalability.
- Identify AI/ML opportunities by collaborating closely with stakeholders to understand business needs and translate them into technical requirements and measurable outcomes. Proactively research and integrate advancements in LLMs, generative AI, and AI agent architectures to continuously enhance our capabilities.
See All 27 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
- 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 ByteDance, based on current listings on Migrate Mate as of November 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, San Jose, and Sunnyvale 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 70% of cloud data engineer openings tied to California are remote or hybrid as of November 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 27 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