AI Data Engineer Visa Sponsorship Jobs in California
California is the top state for AI data engineer visa sponsorship, driven by major tech employers across the San Francisco Bay Area, Silicon Valley, and Los Angeles. Companies like Google, Meta, Apple, and a dense cluster of AI-focused startups regularly sponsor H-1B visa and other work visas for engineers specializing in data pipelines, machine learning infrastructure, and AI platform development.
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INTRODUCTION
“I can be myself at work.”
You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace.
We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.
“I can influence my income.”
You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.
“I can lead a full life.”
You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success.
- Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options
- Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love
- Access on-demand professional development resources that allow you to hone existing skills and learn new ones
ABOUT THE ROLE
As an Engineering Manager in the Enterprise Data Office, you'll lead the engineering team behind some of the most consequential data and AI work at Capital Group. Your team builds the governed data products that CGMC, the Capital Operating Group, the Executive Office, and Business Councils rely on to run the business.
We're looking for a hands-on leader who sets the technical direction and builds alongside the team, with the curiosity to explore what AI can do for data and the judgment to know where it shouldn't. You’ll build the founding engineering team for CBI: hiring, coaching, and setting the operating model for how AI agents ship alongside them. This role is based in Southern California, with time across our Los Angeles and Irvine offices.
Key Responsibilities
- Hands-On AI-Native Data Product Delivery (40%) Your team ships the data and intelligence Capital Group runs on: everywhere it's consumed, by humans and AI. Consumer demand is outpacing anyone still writing pipelines by hand, so you'll extend EDO AI Catalyst (CG's AI sidekick for data product creators) with the skills, agents, and automation to ship at the pace the business needs. Your engineers review, steer, and own the hardest technical calls.
- Engineering Vision, Solution Design, and AI for Data (30%) Set the solution design for CBI's data products (jointly with Product Leads) and how AI powers them: a modern data catalog for humans and agents, source-to-target lineage with impact analysis, and shared metrics and dimensions for the next generation of consumption (BI, agents, executive narratives). Own the hard calls on where AI belongs in the stack and where it doesn't.
- Team Leadership and Growth (20%) Build the team, culture, and hiring bar from the ground up. Recruit, coach, and grow a diverse team of engineers, and set the operating model for how the team builds, ships, and maintains AI skills and agents alongside the humans.
- Partnership and Enterprise Engagement (10%) Represent CBI's engineering voice in Enterprise Data Office forums (architecture, platform, AI governance, catalog federation), engage with business stakeholders as data consumers, and coordinate with Data Platform and Global Data Architecture as peer teams on the shared lakehouse foundation.
BASIC QUALIFICATIONS
- 10+ years building full-stack data products end-to-end, hands-on across a modern lakehouse stack (Databricks, Unity Catalog, dbt, Python, SQL) with recent work in a modern UI framework such as React (or equivalent); Databricks Apps experience a plus
- Direct experience embedding LLMs, retrieval-augmented generation, and agents into data engineering workflows, for example AI-assisted data quality, anomaly detection, or lineage tracing
- Track record as a hands-on technical leader or engineering manager for a high-performing team. You develop, mentor, and coach a talented, diverse team, and you create an inclusive, engaging environment where every engineer can thrive
- Track record operating production data platforms end-to-end - SLAs, data quality and contract enforcement, observability, cost, incident response, and CI/CD for data products serving demanding consumers
- Strong grasp of data modeling and data product design from source ingest to consumer-fit products, with shared metrics and dimensions that BI tools and agents can consume; familiarity with Databricks Genie, Unity Catalog metric views, or Open Data Contract Standard (ODCS) a plus
- Experience in Financial Services (ideally Investment Management), or a demonstrated ability to ramp quickly on complex regulated domains, with comfort partnering across product, business, risk, and platform stakeholders
- You bring high agency, curiosity, and resilience to ambiguous problems, exercise disciplined judgment on trade-offs between scope, speed, and quality, and communicate clearly across technical and business audiences
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
COMPENSATION
Southern California Base Salary Range: $234,276-$398,269
In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.
EEO STATEMENT
We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.
AI Data Engineer Job Roles in California
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Search AI Data Engineer Jobs in CaliforniaAI Data Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in California?
Large technology companies including Google, Meta, Apple, Amazon Web Services, Salesforce, and NVIDIA are among the most active H-1B sponsors for AI data engineer roles in California. Beyond major tech firms, AI-focused companies such as Databricks, Anthropic, and OpenAI, which are headquartered in the Bay Area, also file significant numbers of sponsorship petitions for data engineering positions involving machine learning pipelines and AI infrastructure.
Which visa types are most common for AI data engineer roles in California?
The H-1B is by far the most common visa category for AI data engineers in California, as the role typically requires at least a bachelor's degree in computer science, data engineering, or a closely related field, satisfying the specialty occupation standard. Candidates with a master's or PhD from a U.S. university may have an advantage in the H-1B cap-exempt master's degree pool. O-1A visas are also used for engineers with demonstrated extraordinary ability, such as published research or significant open-source contributions.
Which cities in California have the most AI data engineer sponsorship jobs?
San Francisco and the broader Bay Area, including San Jose, Sunnyvale, Mountain View, and Palo Alto, account for the largest concentration of AI data engineer sponsorship roles in California. Los Angeles is the second major hub, particularly for entertainment-tech and e-commerce companies integrating AI into their data platforms. San Diego has a smaller but growing cluster, driven by biotech and defense-adjacent AI firms that hire data engineers for specialized workloads.
How to find ai data engineer visa sponsorship jobs in California?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter AI data engineer roles by state, so you can browse verified California-specific listings without sorting through positions that don't offer sponsorship. Employers posting on Migrate Mate have indicated sponsorship availability, which makes the search more targeted than general job boards. Combining Migrate Mate with a review of public H-1B LCA disclosure data from the Department of Labor can help you identify which California employers file sponsorship petitions most consistently for this role.
Are there state-specific considerations for AI data engineers pursuing sponsorship in California?
California enforces some of the strongest employee-protection laws in the country, which can affect how sponsorship-related employment agreements are structured, particularly around non-compete clauses, which are largely unenforceable in the state. The Department of Labor sets prevailing wage requirements for H-1B petitions based on the specific metro area, and Bay Area prevailing wages for AI data engineers are among the highest in the country due to the regional cost of labor. Candidates should also be aware that California's dense concentration of universities, including UC Berkeley and Stanford, creates a competitive talent pipeline for these roles.
What is the prevailing wage for sponsored ai data engineer jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.