Data Engineer Visa Sponsorship Jobs in California
California is one of the most active states for data engineer visa sponsorship, driven by Silicon Valley's concentration of tech giants and high-growth startups. Companies like Google, Meta, Apple, and Databricks regularly file H-1B visa petitions for data engineering roles across San Francisco, San Jose, and Los Angeles.
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Get Access To All JobsThe Company:
Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility and robotics. We're producing user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction. We're not just seeking to change how our cars and robots work – we're seeking to change the way we drive and interact with machines. At FF, we're creating something new, something connected, and something with a true global impact.
Your Role:
As a Data Engineer (Agent Systems) in the Developer Portal & Infrastructure Department, you will help build the data foundation for FF's EAI Developer Platform, Open Developer Platform, and agent-system capabilities across its robotics and vehicle businesses. You will work with AI agent, backend, platform, and security teams to support data pipelines, RAG knowledge infrastructure, developer portal analytics, platform telemetry, and data quality systems that power Developer Portal, SDK/API, Data Engine, DevOps & Toolchain, and Agent Skill Store experiences.
Responsibilities:
- Build and maintain batch and streaming data pipelines for developer platform data, including documentation, SDK/API metadata, developer activity, platform telemetry, system logs, feedback signals, and business events.
- Support RAG and agent knowledge systems by preparing, cleaning, chunking, embedding, indexing, and refreshing data from technical documents, API references, code repositories, and developer support content.
- Design and evolve schemas, data models, and storage patterns across relational databases, analytical stores, object storage, and vector retrieval systems.
- Create and maintain datasets for developer portal analytics, platform health monitoring, API usage analysis, Data Engine reporting, and open-source ecosystem insights.
- Validate data correctness, freshness, latency, and retrieval quality for production agent workflows and developer-facing platform features.
- Improve data quality and reliability through monitoring dashboards, validation checks, freshness alerts, lineage tracking, incident reviews, and operational runbooks.
- Follow security, privacy, and compliance practices for access control, retention, auditability, sensitive data handling, and PII protection.
Basic Qualifications:
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related technical field.
- 0–2 years of experience in data engineering, software engineering, platform engineering, or related areas; internships, research, open-source contributions, or strong academic projects count.
- Solid programming skills in Python and strong working knowledge of SQL.
- Basic experience with at least one data processing or orchestration tool, such as Kafka, Spark, Flink, Airflow, Dagster, or dbt.
- Understanding of relational databases, schema design, joins, indexing, and query performance trade-offs.
- Familiarity with Linux, Git, Docker, and modern software development workflows.
- Interest in AI agents, RAG, developer platforms, open-source ecosystems, robotics, vehicles, or embodied intelligence.
Preferred Qualifications:
- Professional working proficiency in Mandarin Chinese and English.
- Exposure to analytical databases, warehouses, or storage systems such as ClickHouse, BigQuery, Snowflake, PostgreSQL, MySQL, Redis, S3, GCS, or Parquet.
- Familiarity with vector retrieval and RAG infrastructure, including embedding pipelines, metadata filtering, hybrid search, reindexing, pgvector, FAISS, Milvus, Weaviate, or Pinecone.
- Exposure to developer portals, SDK/API platforms, technical documentation platforms, DevOps toolchains, open-source communities, or Agent Skill Store-style ecosystems.
- Familiarity with Kubernetes, cloud infrastructure, CI/CD, observability, data lineage, cost monitoring, or production incident response.
- Basic understanding of privacy and compliance concepts such as GDPR, CCPA, data minimization, tokenization, pseudonymization, and role-based access control.
Annual Salary Range:
($85,000 - $95,000 DOE), plus benefits and incentive plans
Perks + Benefits
- Healthcare + dental + vision benefits (Free for you/discounted for family)
- 401(k) options
- Casual dress code + relaxed work environment
- Culturally diverse, progressive atmosphere
Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The Company:
Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility and robotics. We're producing user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction. We're not just seeking to change how our cars and robots work – we're seeking to change the way we drive and interact with machines. At FF, we're creating something new, something connected, and something with a true global impact.
Your Role:
As a Data Engineer (Agent Systems) in the Developer Portal & Infrastructure Department, you will help build the data foundation for FF's EAI Developer Platform, Open Developer Platform, and agent-system capabilities across its robotics and vehicle businesses. You will work with AI agent, backend, platform, and security teams to support data pipelines, RAG knowledge infrastructure, developer portal analytics, platform telemetry, and data quality systems that power Developer Portal, SDK/API, Data Engine, DevOps & Toolchain, and Agent Skill Store experiences.
Responsibilities:
- Build and maintain batch and streaming data pipelines for developer platform data, including documentation, SDK/API metadata, developer activity, platform telemetry, system logs, feedback signals, and business events.
- Support RAG and agent knowledge systems by preparing, cleaning, chunking, embedding, indexing, and refreshing data from technical documents, API references, code repositories, and developer support content.
- Design and evolve schemas, data models, and storage patterns across relational databases, analytical stores, object storage, and vector retrieval systems.
- Create and maintain datasets for developer portal analytics, platform health monitoring, API usage analysis, Data Engine reporting, and open-source ecosystem insights.
- Validate data correctness, freshness, latency, and retrieval quality for production agent workflows and developer-facing platform features.
- Improve data quality and reliability through monitoring dashboards, validation checks, freshness alerts, lineage tracking, incident reviews, and operational runbooks.
- Follow security, privacy, and compliance practices for access control, retention, auditability, sensitive data handling, and PII protection.
Basic Qualifications:
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related technical field.
- 0–2 years of experience in data engineering, software engineering, platform engineering, or related areas; internships, research, open-source contributions, or strong academic projects count.
- Solid programming skills in Python and strong working knowledge of SQL.
- Basic experience with at least one data processing or orchestration tool, such as Kafka, Spark, Flink, Airflow, Dagster, or dbt.
- Understanding of relational databases, schema design, joins, indexing, and query performance trade-offs.
- Familiarity with Linux, Git, Docker, and modern software development workflows.
- Interest in AI agents, RAG, developer platforms, open-source ecosystems, robotics, vehicles, or embodied intelligence.
Preferred Qualifications:
- Professional working proficiency in Mandarin Chinese and English.
- Exposure to analytical databases, warehouses, or storage systems such as ClickHouse, BigQuery, Snowflake, PostgreSQL, MySQL, Redis, S3, GCS, or Parquet.
- Familiarity with vector retrieval and RAG infrastructure, including embedding pipelines, metadata filtering, hybrid search, reindexing, pgvector, FAISS, Milvus, Weaviate, or Pinecone.
- Exposure to developer portals, SDK/API platforms, technical documentation platforms, DevOps toolchains, open-source communities, or Agent Skill Store-style ecosystems.
- Familiarity with Kubernetes, cloud infrastructure, CI/CD, observability, data lineage, cost monitoring, or production incident response.
- Basic understanding of privacy and compliance concepts such as GDPR, CCPA, data minimization, tokenization, pseudonymization, and role-based access control.
Annual Salary Range:
($85,000 - $95,000 DOE), plus benefits and incentive plans
Perks + Benefits
- Healthcare + dental + vision benefits (Free for you/discounted for family)
- 401(k) options
- Casual dress code + relaxed work environment
- Culturally diverse, progressive atmosphere
Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Data Engineer Job Roles in California
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Search Data Engineer Jobs in CaliforniaData Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data engineers in California?
Large tech employers including Google, Apple, Meta, Amazon, and Salesforce consistently sponsor H-1B visas for data engineers at their California offices. Databricks, Airbnb, and Lyft are also frequent sponsors in the Bay Area. Enterprise companies in finance and healthcare, such as Wells Fargo and Kaiser Permanente, sponsor data engineering roles in California as well.
Which visa types are most common for data engineer roles in California?
The H-1B is the most common visa for data engineers in California, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates with an Australian passport may qualify for the E-3 visa. Those with extraordinary ability or significant research backgrounds sometimes pursue the O-1A.
Which cities in California have the most data engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose and Mountain View, has the highest concentration of data engineer sponsorship jobs in California, anchored by Silicon Valley's tech industry. Los Angeles is a growing hub, particularly in media tech, fintech, and e-commerce. San Diego has a smaller but active market, driven by biotech and defense technology companies.
How to find data engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse data engineer roles in California without sorting through positions that won't support international candidates. The platform surfaces employers who have a documented history of sponsoring work visas for data engineering positions, which makes it easier to focus your applications on realistic opportunities in the state.
Are there any California-specific factors data engineers should know about visa sponsorship?
California's prevailing wage requirements under the H-1B program are among the highest in the country, reflecting the state's elevated cost of living and competitive tech market. Many California universities, including UC Berkeley, Stanford, and UCLA, have strong pipelines into local tech employers, which can benefit recent graduates on OPT who are seeking sponsorship before their authorization period ends.
What is the prevailing wage for sponsored 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.