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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (Agent Systems) - **Company:** Faraday Future - **Location:** El Segundo, CA, United States - **Experience:** Starter - **Salary:** $85,000.0 - $95,000.0 - **Contract:** Internship / Graduate position - **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon S3, Data Analysis, Automated Storage and Retrieval Systems, BigQuery, Cloud Computing, Encodings, Databases, Continuous Integration, Information Engineering, Relational Databases, Linux, DevOps, Python (Programming Language), Knowledge-Based Systems, PostgreSQL, Metadata, MySQL, Open Source Technology, Role-Based Access Control, Redis, Software Engineering, Data Streaming, Toolchain, Usage Analysis, Parquet, Software Repository, Data Processing, Snowflake, Apache Spark, Indexer, Backend, Git, Kubernetes, Information Technology, Data Lineage, Apache Flink, Apache Kafka, Free and Open-Source Software, Vertica, Virtual Agents, Data Pipelines, Docker - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3701c804c9b0b189 ## About the Role Do you have experience in Schema design?, * 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. ## Description 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., * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)