高级数据工程师，商业技术
Senior Data Engineer, BizTech
Airbnb成立于2007年，当时两位房东欢迎三位客人入住他们的旧金山住宅，如今已发展为拥有超过500万房东，在全球几乎每个国家都接待了超过20亿次宾客到访。每天，房东们提供独特的住宿和体验，使宾客能够以更真实的方式与社区建立联系。
##### **你将加入的团队：**
Airbnb的BizTech团队对公司运营至关重要，负责处理与税务、支付和法律合规相关的关键数据。我们还管理CRM、Jira和Workday等工具的应用数据，这些是Airbnb业务不可或缺的部分。加入这个团队意味着与跨职能利益相关者合作，设计可扩展的解决方案，并在质量、可扩展性和稳健工程实践方面，为世界级的数据工程环境做出贡献。
##### **你将带来的影响：**
我们正在寻找一位经验丰富的技术专家，为BizTech多样化的数据工程需求提供技术领导力，并推动长期战略和最佳实践。这一关键领导职位需要在各团队之间进行强有力的协作和影响力。你将在理解业务需求、识别合适的数据源、设计高效的数据模型以及构建可靠、可扩展的数据管道中发挥关键作用。随着技术的不断发展，你将帮助塑造并维护BizTech关键数据生态系统的重要部分。你的贡献不仅会解决复杂业务挑战，还将帮助完善和推进Airbnb的数据工程铺路计划，惠及整个Airbnb数据社区。我们相信通过解决问题并回馈数据社区，持续改进。
##### **典型工作日 / 职责：**
- 领导数据系统的架构设计、实现和测试，从设计到生产。
- 构建批处理和实时数据系统，以支持业务需求和关键产品。
- 通过严格的监控和质量保证实践，确保数据系统的质量和稳定性。
- 设计和优化数据模型，以高效满足业务和产品需求。
- 与跨职能团队（包括产品经理、数据科学家和工程师）合作，开发可扩展系统并推动数据驱动决策。
- 与后端、数据科学和机器学习团队保持紧密合作，确保系统的一致性和高效性。
查看英文原文
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
##### **The Community You Will Join:**
The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices.
##### **The Difference You Will Make:**
We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve.
##### **A Typical Day /Responsibilities:**
- Lead the design, implementation, and testing of data systems, from architecture to production.
- Build batch and real-time data systems that support business needs and critical products.
- Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices.
- Design and optimize data models to efficiently meet business and product requirements.
- Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions.
- Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems.
- Contribute to long-term data strategies and influence data engineering practices across the organization.
- Mentor and guide team members, fostering best practices for data quality and governance.
- Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage.
##### **Your Expertise:**
- 9+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE (or 6+ years with a PhD).
- Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale.
- Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying.
- Proven track record of designing and optimizing batch and real-time data pipelines.
- Strong collaboration skills with the ability to work with product managers, data scientists, and engineers.
- Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability.
- Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts.
- Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery).
- Experience with integrating machine learning models into data systems (preferred).
- Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies.
- Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes.
**Reasonable Accommodations:** We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
**A Note on Recruiting Scams:** Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ [airbnb.com](http://airbnb.com) or @ [ext.airbnb.com](http://ext.airbnb.com) email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.