AI Data Engineer Jobs in California
AI Data Engineer jobs in California represent one of the most active markets in the country, with demand concentrated in technology, entertainment, healthcare, and financial services and openings at every level from entry-level associate to principal engineer. The highest volume of hiring is in the San Francisco Bay Area, Los Angeles, and San Diego, where established employers like Google, Salesforce, and Kaiser Permanente maintain large data engineering teams. The most in-demand specialties are large language model (LLM) pipeline development, real-time feature stores, and MLOps infrastructure. Find a role that fits below and apply directly.
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Showing 5 of 208+ AI Data Engineer jobs
The Position
Why Genentech
We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.
Who We Are
Our Data, Digital and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Digital and Analytics empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Digital and Analytics fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Digital and Analytics, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
The Opportunity
As an AI & Digital Data Product Manager, you will drive execution from strategy through implementation for a designated portfolio of advanced AI/ML pipelines and digital data products. Reporting directly to the Director AI & Digital Data Products, you will own the full product lifecycle, spearhead digital transformation initiatives, translate complex business needs into actionable roadmaps, and collaborate within cross-functional data squads to deliver scalable AI and digital data solutions.
Product Lifecycle Ownership: Manage execution from digital product strategy through implementation for a portfolio of AI and Analytical Data Products, driving roadmap development, release management, and continuous optimization.
Agile Collaboration & Digital Transformation: Champion a digital product operating model mindset, participating in agile routines and collaborating within cross-functional AI and data squads to deliver iterative value.
Stakeholder Liaison: Act as the primary point of contact for inquiries and digital demand requests, effectively bridging the gap between business stakeholders, AI/ML researchers, and the data product technology team.
Data Standards & AI Quality: Partner with data owners and cross-functional teams to define and enforce data standards, ensuring AI model readiness, data quality, testing, usability, and seamless workflow integration.
Architectural Guidance & Advanced Strategy: Guide the team in adhering to data mesh, data fabric, Semantic Layer concepts, advanced digital product strategy, and FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
Backlog Management: Maintain and prioritize the AI and digital data product backlog for your designated portfolio to ensure it efficiently addresses the requirements of evolving business use cases.
Performance Monitoring: Monitor and measure data product performance in collaboration with IT partners, identifying opportunities to optimize value delivery to end users.
Who you are
You possess a Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
You have 3+ years of combined experience in AI & digital data product management, data management, AI/ML product development, software development, or equivalent experience, with a proven track record in digital transformation and driving execution from strategy to implementation.
You demonstrate strong technical fluency with data systems, SQL, AI/ML frameworks, and cloud-based data platforms (e.g., AWS, GCP, Azure) to inform digital product decisions.
You possess working knowledge of Semantic Layer concepts, data governance frameworks, and FAIR data principles.
You have proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards.
Preferred
Advanced degree such as an MBA or related graduate-level qualification.
Professional experience in data management, technical project management, or business analysis within the pharmaceutical, biotechnology, finance, CPG, or management consulting industries.
Experience with AI-driven products, omnichannel/digital marketing solutions, or CRM systems.
Expertise in driving product enhancements based on measurement, optimization insights, and data usage metrics.
Strong problem-solving abilities and adaptability to navigate ambiguous or evolving environments.
Location
This role is based in South San Francisco and offers a hybrid schedule working 3 day per week on campus
No relocation benefits are available for this posting
The expected salary range for this position based on the primary location of South San Francisco, CA is $125,200 - $232,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
The Position
Why Genentech
We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.
Who We Are
Our Data, Digital and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Digital and Analytics empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Digital and Analytics fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Digital and Analytics, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
The Opportunity
As an AI & Digital Data Product Manager, you will drive execution from strategy through implementation for a designated portfolio of advanced AI/ML pipelines and digital data products. Reporting directly to the Director AI & Digital Data Products, you will own the full product lifecycle, spearhead digital transformation initiatives, translate complex business needs into actionable roadmaps, and collaborate within cross-functional data squads to deliver scalable AI and digital data solutions.
Product Lifecycle Ownership: Manage execution from digital product strategy through implementation for a portfolio of AI and Analytical Data Products, driving roadmap development, release management, and continuous optimization.
Agile Collaboration & Digital Transformation: Champion a digital product operating model mindset, participating in agile routines and collaborating within cross-functional AI and data squads to deliver iterative value.
Stakeholder Liaison: Act as the primary point of contact for inquiries and digital demand requests, effectively bridging the gap between business stakeholders, AI/ML researchers, and the data product technology team.
Data Standards & AI Quality: Partner with data owners and cross-functional teams to define and enforce data standards, ensuring AI model readiness, data quality, testing, usability, and seamless workflow integration.
Architectural Guidance & Advanced Strategy: Guide the team in adhering to data mesh, data fabric, Semantic Layer concepts, advanced digital product strategy, and FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
Backlog Management: Maintain and prioritize the AI and digital data product backlog for your designated portfolio to ensure it efficiently addresses the requirements of evolving business use cases.
Performance Monitoring: Monitor and measure data product performance in collaboration with IT partners, identifying opportunities to optimize value delivery to end users.
Who you are
You possess a Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
You have 3+ years of combined experience in AI & digital data product management, data management, AI/ML product development, software development, or equivalent experience, with a proven track record in digital transformation and driving execution from strategy to implementation.
You demonstrate strong technical fluency with data systems, SQL, AI/ML frameworks, and cloud-based data platforms (e.g., AWS, GCP, Azure) to inform digital product decisions.
You possess working knowledge of Semantic Layer concepts, data governance frameworks, and FAIR data principles.
You have proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards.
Preferred
Advanced degree such as an MBA or related graduate-level qualification.
Professional experience in data management, technical project management, or business analysis within the pharmaceutical, biotechnology, finance, CPG, or management consulting industries.
Experience with AI-driven products, omnichannel/digital marketing solutions, or CRM systems.
Expertise in driving product enhancements based on measurement, optimization insights, and data usage metrics.
Strong problem-solving abilities and adaptability to navigate ambiguous or evolving environments.
Location
This role is based in South San Francisco and offers a hybrid schedule working 3 day per week on campus
No relocation benefits are available for this posting
The expected salary range for this position based on the primary location of South San Francisco, CA is $125,200 - $232,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
See All 208+ AI Data Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
AI Data Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple28
- Google18
- Amazon Web Services15
- Tesla5
- AMD4
Top Industries Hiring
- Technology & Software13
- Electronics & Hardware9
- Banking & Financial Services4
- Biotechnology & Pharmaceuticals3
- Manufacturing2
What California Employers Look For
The qualifications that appear most often in AI data engineer jobs across California.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Proficiency building and maintaining data pipelines using Python, SQL, or Scala
- Hands-on experience with cloud platforms such as Google Cloud, AWS, or Azure
- Demonstrated ability to design and operationalize machine learning data infrastructure at scale
- Experience with orchestration tools such as Apache Airflow, dbt, or Spark
- Familiarity with vector databases and embedding pipelines for generative AI applications
AI Data Engineer Jobs in California: Frequently Asked Questions
How do you become a ai data engineer in California?
Most California employers require a bachelor's degree in computer science, data science, or a closely related engineering discipline, and many prefer a master's for senior roles. There is no California state license required for this role. The practical path is to build proficiency in Python, SQL, and cloud data platforms, earn widely recognized credentials such as Google Professional Data Engineer or AWS Certified Data Engineer, and complete portfolio projects demonstrating AI pipeline work before applying to California's large technology and healthcare employers.
How much do AI data engineers make in California?
AI data engineers in California earn a median of about $141,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,480 for the lowest 10% to over $224,920 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in California?
Employers hiring ai data engineers in California right now include Apple, Google, and Amazon Web Services, based on current listings on Migrate Mate as of September 2026. California's concentration of major technology headquarters, biotech firms, and streaming media companies means the range of industries behind these openings is broader here than in most other states.
Which California cities have the most ai data engineer jobs?
San Francisco, Sunnyvale, and San Jose have the most ai data engineer openings in California. The Bay Area leads because of its density of technology headquarters and AI-focused startups, Los Angeles draws demand from entertainment technology and e-commerce companies, and San Diego's concentration of biotech and defense contractors drives consistent hiring in that market.
Are there remote ai data engineer jobs in California?
Yes, and more than most fields. About 56% of ai data engineer openings tied to California are remote or hybrid as of September 2026, reflecting how much of this work is performed on cloud infrastructure rather than on-site hardware. Pipeline development, model monitoring, and feature engineering roles tend to be the most remote-friendly, while roles requiring close collaboration with on-site research teams are more likely to require in-office presence.
How can I get hired as a ai data engineer in California with little or no experience?
The most realistic entry path is moving from a data analyst or software engineering role where you already work with pipelines or SQL, then building AI-specific projects publicly to demonstrate readiness. Large California employers including Google, Meta, and Kaiser Permanente run structured associate and rotational data programs that accept recent graduates. Completing a Google Professional Data Engineer certification and contributing to open-source LLM tooling gives your application a concrete edge over candidates without a portfolio.
Where can I find and apply to ai data engineer jobs in California?
You can find and apply to ai data engineer jobs in California on Migrate Mate, which lists current California openings across technology, healthcare, financial services, and other industries. Find the roles that fit your experience and apply directly to the employers posting them.
See All 208+ AI Data Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Data Engineer Jobs