About the Job
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 conne...
Airbnb's Data Authoring Platform exists to turn raw data into decision-grade insight, fast, reliable, and at scale. We provide a single, paved path for 4,000+ internal data producers and consumers to model, transform, and serve trustworthy data and metrics that power everything from A/B experimentation to executive ...
Minerva, Airbnb's semantic layer & metrics platform, ensuring one definition of truth across the company.
Key Responsibilities
Build and extend Minerva's core services, including our query rewriting service.
Take on loosely defined problems, partner with users and teams to scope them, and propose and deliver solutions.
Track semantic layer techniques and database engine capabilities to inform priorities.
Partner with teams across the company to make data easier to query and use.
Own design, implementation, testing, and on-call for the systems you build.
Required Skills & Abilities
9+ years of hands-on software engineering, with the majority of your time spent building and deploying production applications and services (rather than writing configuration and SQL).
Deep proficiency in at least one modern general-purpose language (e.g., Java, Kotlin, Scala, Go, Python, TypeScript).
Experience working on data platforms or data tooling, with a good understanding of why users want to do what they do with data. Prior data engineering or data science experience is a plus, but software engineering should be your primary focus.
Demonstrated ability to independently scope and drive ambiguous, cross-team projects from design through launch.
Strong command of OOP, API design, and distributed systems patterns.
Strong communication skills and experience working across complex team and system interfaces.
Experience with experimentation platforms (assignment, metrics, analysis, or experiment tooling).
Experience with metrics, semantic layer, BI, or analytics platforms (e.g., dbt, Tableau, Superset).
Experience with query engines, query rewriting/optimization, or data warehouse internals.
Experience authoring DSLs, compilers, or APIs that abstract data transformations.
Qualifications
Experience:
9 years experience
