Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.

About the team:

The Analytics Infrastructure team’s mission is to enable universal data-informed decision-making at Airbnb. We achieve this by providing an integrated suite of analytics frameworks, services and applications. Our offerings include A/B testing, anomaly detection, Business Intelligence (BI), data and knowledge discovery, data visualization, and metrics computation. We’re infrastructure and full stack engineers with a human focus: customer-centric, quality driven, helpful and empathetic. 

 

We’re looking for Software Engineers who have:

 

  • 6+ years of full-time, relevant industry experience.
  • Experience building backend services in Python or Java, or full-stack development with strong JavaScript/TypeScript and front-end skills.
  • Appetite for high quality code and robust systems.
  • Hands-on experience with big data technology is a plus, e.g: Apache Airflow, Apache Flink, Apache Hadoop, Apache Spark, Presto, or StarRocks.
  • Experience in some combination of internal application development, data infrastructure, analytics engineering.

 

Your day to day responsibilities

The Metric Infra team builds Minerva - the single source of truth metric platform. It powers the full lifecycle of metrics including definition, validation, computation, serving, retention, data governance. Our vision is to allow users to “define metrics once, use them everywhere”. It is widely adopted at Airbnb and powers the full BI stack including experimentation, analytics reporting, anomaly detection, etc. It supports over 30k metrics and is used by over 100 teams. We also plan to open source Minerva. 

Here are some engineering blogs on Minerva:

You will be responsible for delivering projects independently and whilst collaborating with  product and other engineers on the team. Experience in one of the following relevant areas would be a plus: Spark, Hive, StarRocks, Presto, Druid, DB-APIs, or BI tools, e.g. Apache Superset, Looker, Tableau.