Senior Analytics Engineer, Airbnb.org

Airbnb is a company that enables hosts to offer stays and experiences connecting guests with communities worldwide, and Airbnb.org is its mission-driven nonprofit supporting crisis housing. The Senior Analytics Engineer will build and own data models, metrics, pipelines, dashboards, and experimentation foundations while improving data quality and reliability. The role partners with stakeholders across business and technical teams to translate needs into trusted data products and mentor fellow data practitioners.

Responsibilities:

• Design, build and launch efficient, reliable and maintainable data models and pipelines that power reporting, analysis and experimentation, in partnership with Data Engineering
• Design, define and implement metrics and dimensions for Airbnb.org, and document them clearly so they are trusted and used consistently across teams
• Own data quality for the tables and pipelines you build: implement testing, auditing and validation, respond to data incidents, and follow through on corrective actions that go beyond the immediate fix
• Identify and improve or deprecate low-quality or duplicative data assets, and plan quality improvements into the team's roadmap
• Design and develop dashboards and self-serve data products that make data discoverable, trusted and easy to consume
• Write clear technical designs that lay out benefits, risks and tradeoffs; seek and incorporate peer feedback, and provide constructive input on others' designs and code
• Understand stakeholder needs across Marketing, Fundraising, Programs, Product, Data Science and Engineering, and prioritize work within your projects to align with Airbnb.org's goals; mentor and share knowledge with fellow data practitioners

Requirements:

• 5+ years of relevant industry experience in analytics engineering, data engineering, or a closely related field
• Experience owning major data projects end to end, including ones that started out loosely defined, from scoping and design through delivery
• Strong SQL skills and experience optimizing queries on distributed data processing systems (e.g. Spark, Presto, Hive)
• Solid experience in dimensional data modeling, schema design and metric definition
• Proficiency in at least one programming language for data work (e.g. Python) and experience with an ETL/orchestration framework like Airflow
• Ability to communicate technical solutions and tradeoffs clearly to both technical and non-technical partners, and to adapt to competing priorities
• Proven ability to succeed in both collaborative and independent work environments
• Passion for high data quality, attention to detail, and an ownership mindset toward the reliability of what you build
• Minerva and Tableau skills, and an eye for design when it comes to dashboards and visualization tools