Faraday Future

mobility and robotics

DataEngineer(AgentSystems)

$85–95k El Segundo, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer (Agent Systems) at Faraday Future. Skills: Python, SQL, Data Processing, Orchestration Tools. Design and implement data pipelines. Develop and maintain data models”

Industry & Context.

mobility and robotics
Problems you'll solve

query performance trade-offs

What They're Looking For.

Must Have

Solid programming skills in Python, working knowledge of SQL, Basic experience with at least one data processing or orchestration tool, Understanding of relational databases, schema design, joins, indexing, query performance trade-offs, Familiarity with Linux, Git, Docker, modern software development workflows, Interest in AI agents, RAG, developer platforms, open-source ecosystems, robotics, vehicles, embodied intelligence

Nice to Have

Professional working proficiency in Mandarin Chinese and English, Exposure to analytical databases, warehouses, storage systems, Familiarity with vector retrieval and RAG infrastructure, embedding pipelines, metadata filtering, hybrid search, reindexing, pgvector, FAISS, Milvus, Weaviate, Pinecone, Exposure to developer portals, SDK/API platforms, technical documentation platforms, DevOps toolchains, open-source communities, Agent Skill Store-style ecosystems, Familiarity with Kubernetes, cloud infrastructure, CI/CD, observability, data lineage, cost monitoring, production incident response, Basic understanding of privacy and compliance concepts, GDPR, CCPA, data minimization, tokenization, pseudonymization, role-based access control

What You'll Do.

Design and implement data pipelines

Develop and maintain data models

Ensure data quality and integrity

Optimize data processing performance

Collaborate with cross-functional teams

Contribute to data strategy

Stay updated on data technologies

How You'll Work.

Team & Collaboration

Collaborate with cross-functional teams; Work with product managers; Work with software engineers; Work with AI researchers

Communication Scope

Professional working proficiency in Mandarin Chinese and English

Full Job Description

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 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 pr

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