岗位能力对标
Cognition

Data Engineer

San Francisco · 全职 · 算法与研究

源站发布:2025-11-26资料抓取:2026-11-10查看原始招聘来源

需要对标的能力

Agent · 智能体设计Agent 工程 · Harness / 脚手架评测 · Eval 方法论权限 · 沙箱 · 治理

岗位职责与要求

WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE We're hiring a technical Data Engineer to own our full data stack – from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company. There are multiple openings across various teams: GTM, Core Product, and Finance. IN THIS ROLE YOU WILL: - Design and manage database architecture and data models - Build and maintain ETL/ELT pipelines and orchestration workflows - Create and manage new data integrations across internal and external systems - Own business reporting: datasets, dashboards, metrics, and self-serve analytics - Ensure data quality, observability, governance, and documentation REQUIREMENTS FOR THE ROLE: - 4+ years in a data engineering, data science, or full-stack data role - Expert on SQL and Python (required) - Experience with data modeling, warehouse architecture, and BI-oriented schema design - Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.) - Experience building or maintaining BI reporting (Metabase a plus) - Experience developing scalable backend heavy applications - Strong knowledge of statistics and experimentation - Based in SF or NYC OUR COMMITMENT Equal Opportunity. Cognition is an equal opportunity employer. We do not discriminate on the basis of any protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any. Cognition also considers applicants with criminal histories consistent with the SF Fair Chance Ordinance and similar local laws. Data Privacy and Arbitration: By submitting your application, you agree to our Global Applicant and Job Candidate Privacy Notice https://cognition.com/documents/Cognition-Global-Applicant-and-Job-Candidate-Privacy-Notice.pdf. For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement https://cognition.com/documents/Cognition-Applicant-Arbitration-Agreement.pdf.
查看中文参考译文
我们是一家应用 AI 实验室,致力于构建端到端的 software agents。 我们是 Devin 的创造者——全球首位 AI 软件工程师。 我们的团队人才密度极高。创始团队成员包括世界级 competitive programmers、前创始人,以及来自 AI 前沿公司的领导者,包括 Scale AI、Palantir、Cursor、Waymo、Tesla、Lunchclub、Modal、Google DeepMind 和 Nuro。 构建 Devin 只是第一步——最艰巨的挑战仍在前面。如果你渴望解决世界上最重要的问题,并构建能够在真实世界任务中进行推理的 AI,欢迎申请加入我们。 关于该职位 我们正在招聘一名技术型 Data Engineer,负责我们的全栈数据——从 database architecture 和 pipelines,到 telemetry 的 instrumenting,以及 integrations 和 reporting 的 ownership。你将设计并维护系统,确保公司数据可靠、可访问且可操作。多个团队均有空缺:GTM、Core Product 和 Finance。 在该职位中,你将: - 设计并管理 database architecture 和 data models - 构建并维护 ETL/ELT pipelines 和 orchestration workflows - 创建并管理跨内部和外部系统的新 data integrations - 负责 business reporting:datasets、dashboards、metrics 和 self-serve analytics - 确保 data quality、observability、governance 和 documentation 职位要求: - 4 年以上 data engineering、data science 或 full-stack data 岗位经验 - 精通 SQL 和 Python(必需) - 具备 data modeling、warehouse architecture 和 BI-oriented schema design 经验 - 有 ETL/ELT 工具(dbt、Airflow、Dagster 等)的实操经验 - 有构建或维护 BI reporting 的经验(Metabase 加分) - 有开发可扩展的 backend heavy applications 的经验 - 扎实的 statistics 和 experimentation 知识 - 常驻 SF 或 NYC

译文仅供辅助阅读,具体要求以原始招聘来源为准。