Senior Analytics Engineer, Airbnb.org

Remote · USD 179,000-210,000 · 5+ years experience · Remote · Posted Oct 5, 2026

At a glance

As a Senior Analytics Engineer at Airbnb.org, you will own major projects that build out the data foundation for a growing, mission-driven non-profit organization.
You will design and deliver the data models, metrics, and dashboards that power reporting, analysis, and experimentation while raising the bar on data quality and reliability.

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

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