The opportunity
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…
What you'll do
Design, build, and maintain robust, scalable data pipelines that ingest,: reconcile, transform, and publish data for AirCover products and operations.
Develop high-quality, analytics-ready data models and metrics that support: executive reporting, claims and operations workflows, experimentation, financial reconciliation, and self-serve analysis.
Partner with software engineers and external-data stakeholders to translate: source-system behavior and partner data feeds into trustworthy offline datasets.
Ensure data quality, consistency, accuracy, and documentation across critical AirCover data assets.
Improve the reliability, maintainability, and observability of pipelines: through strong testing, monitoring, and engineering standards.
Collaborate cross-functionally with Product, Engineering, Operations,: Finance, Analytics, and Data Science to define data requirements and deliver solutions that drive business outcomes.
What they're looking for
- + years of relevant industry experience in data engineering, software engineering, or closely related fields.
- Strong experience designing and maintaining production-quality ETL or ELT pipelines.
- Strong data modeling skills, including experience structuring data for: business-relevant analytics and operational use cases.
- Hands-on experience with large-scale distributed data processing technologies: such as Spark and distributed storage systems.
- Strong SQL skills and proficiency in at least one programming language: commonly used in data engineering, such as Python, Scala, or Java.
- Experience with workflow orchestration or ETL scheduling frameworks such as Airflow.
- Experience working with structured and third-party data sources, including: reconciliation and transformation into trustworthy warehouse models.
- Excellent written and verbal communication skills, with the ability to work: effectively across technical and non-technical stakeholders.
