高级数据工程师
Senior Data Engineer
🧠 关于Cortex
Cortex是工程运营平台——AI软件工厂的指挥中心。随着AI使团队交付的代码量倍增，代码本身不再是瓶颈，其周围的环境成为约束。Cortex为工程组织提供可见性、治理和黄金路径，在不影响可靠性与安全性的情况下快速推进——涵盖目录和上下文图谱、评分卡、工程智能、自助服务和工作流，以及AI影响。
我们是一家YC公司，通过SOC 2 Type II和ISO/IEC 27001认证，被Rapid7、Xero、BigCommerce、Skyscanner、LetsGetChecked和H&R Block等团队使用。AI增强的工程是这里的常态，而不是一个次要实验——Cortex工程师每天都在Cortex上构建。
📍 地点
我们是[完全远程](https://www.cortex.io/post/building-cortex-as-a-remote-first-company)办公，欢迎美国任何地方的候选人！我们每年会组织几次全员线下会议，带整个团队飞往各地见面，建立更紧密的关系，启动重要项目，并一起享受乐趣！
🤝 团队
我们是一个由80名充满热情的成员组成的强大团队，热衷于打造开发者喜爱的产品。今年我们由Scale Ventures领投，获得6000万美元C轮融资（Sequoia、IVP和其他投资方参与），以打造开发者体验的未来。你可以在[这里](https://www.cortex.io/post/announcing-series-c)了解更多。
💼 职位概要 作为**高级数据工程师**，你将负责我们内部的数据系统和管道。你将负责收集、转换和仓储，这些支撑公司所有报告的数据——将目前分散在Segment、Hevo、BigQuery和Omni的堆栈整合成一个可信的单一数据源，并为我们在增长过程中处理更高体量的数据工作打下基础。你将与GTM运营团队紧密合作，确保我们的AI驱动自动化和工具建立在准确、良好建模的数据之上，包括你将负责产品分析。
🛠️ 职责
- 全程负责数据管道——收集、转换（dbt）、仓储（BigQuery）以及交付到报告和BI（Omni）
- 在重建之前审计并映射现有的数据系统，然后将堆栈整合到单一数据源
- 构建和维护dbt模型和转换逻辑，包含测试、文档和清晰的合同
- 建立数据质量、可观测性和可靠性实践，以便管道能够稳定运行
查看英文原文
**🧠 About Cortex**
Cortex is the Engineering Operations Platform - mission control for the AI software factory. As AI multiplies how much teams ship, code stops being the bottleneck and everything around it becomes the constraint. Cortex gives engineering organizations the visibility, governance, and golden paths to move fast without runaway risk to reliability and security - across Catalog and Context Graph, Scorecards, Engineering Intelligence, Self-Service and Workflows, and AI Impact.
We're a YC company, SOC 2 Type II and ISO/IEC 27001 certified, used by teams like Rapid7, Xero, BigCommerce, Skyscanner, LetsGetChecked, and H&R Block. AI-augmented engineering is the floor here, not a side experiment - Cortex engineers build on Cortex every day.
**📍Location**
We’re [fully remote](https://www.cortex.io/post/building-cortex-as-a-remote-first-company) and welcome candidates from anywhere in the US! We have all-company offsites a few times a year where we fly the whole team out to meet in person, build stronger relationships, kick off important projects, and have fun!
**🤝 The Team**
We are a mighty group of 80 passionate individuals excited about building a product that developers love. We recently raised $60M in Series C Funding this year led by Scale Ventures (with participation from Sequoia, IVP, and others) to build the Future of Developer Experience. You can read more about it [here](https://www.cortex.io/post/announcing-series-c).
💼 **Role Summary** As a **Senior Data Engineer**, you’ll own our internal data systems and pipelines. You will be responsible for the ingestion, transformation, and warehousing that power reporting across the company - consolidating a stack currently spread across Segment, Hevo, BigQuery, and Omni into a single, trustworthy source of truth, and laying the foundation for higher-volume data work as we grow. You'll partner closely with GTM operations to ensure our AI-driven automation & tools areis built on accurate, well-modeled data, including you'll own product analytics.
🛠️ **Responsibilities**
- Own data pipelines end to end - ingestion, transformation (dbt), warehousing (BigQuery), and delivery into reporting and BI (Omni)
- Audit and map the existing data systems before rebuilding, then consolidate the stack toward a single source of truth
- Build and maintain dbt models and transformation logic with tests, documentation, and clear contracts
- Establish data quality, observability, and reliability practices so pipelines are maintained intentionally rather than reactively
- Own product analytics: instrumentation and event tracking, data models for usage and adoption, and the metrics GTM and product teams rely on
- Partner with GTM operations to consolidate reporting into a single tool and ensure we have the right data foundations for AI automation and tools.
- Support research for external reports (e.g. the Engineering in the Age of AI benchmark report), partnering with marketing to source, validate, and pull the right data
- Lay the groundwork for high-volume and streaming ingestion (e.g. telemetry / OpenTelemetry) as the product moves that way
**✔️Qualifications**
- Bachelor's degree in Computer Science or related field, or equivalent practical experience
- 4+ years of hands-on data engineering experience building and owning production pipelines
- Proficiency with dbt, a cloud data warehouse (BigQuery or equivalent), and ETL/ELT tooling
- Strong SQL and proficiency in a general-purpose language (e.g. Python) for pipeline and transformation work
- Solid data modeling judgment with a focus on data quality, testing, and reliability
- A bias toward mapping and rationalizing a messy environment before adding to it
- Strong communication and collaboration skills, including with non-engineering stakeholders
- Fluent, critical use of AI in day-to-day engineering, reviewing AI output as carefully as a teammate's PR
- Experience with high-volume / streaming systems (ClickHouse, OpenTelemetry) or CDP / ETL tools (Segment, Hevo) is a plus
- Previous experience at a startup is a plus
💰 **Compensation**
- Starting Salary Range: $175,000.00 to $205,000.00
- Competitive Equity Package
* _Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for equity and benefits._ 🌴 **Perks & Benefits**
- National medical, dental & vision insurance (we cover 100% for employees!)
- Unlimited PTO & flexible working hours
- 401k plan
- Gender-neutral parental leave
- $1000 yearly Learning & Development stipend
- $400 monthly perks stipend (use it on anything)
- Pet Insurance
_Cortex is committed to a diverse and inclusive workplace. Cortex 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. For individuals with disabilities who would like to request an accommodation, please email people@cortex.io_