[Hiring] Senior Data Engineer @Airbnb

Role Description

The AirCover Data Foundation team is responsible for providing trustworthy, consistent data and metrics to facilitate business insights, informed decision-making, and seamless operations across Airbnb's AirCover programs, such as Guest Travel Insurance, AirCover for Hosts, and AirCover for Guests. As a Senior Data Engineer on AirCover Data Foundation, you will build and evolve the trusted data systems that power AirCover products and operations.

• 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.
• Contribute to the broader Data Engineering community at Airbnb by influencing tooling, standards, and best practices.
• Help raise the bar for foundational data systems that can scale with new AirCover markets, products, and regulatory or partner requirements.

Qualifications

• 6+ 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.
• Sound judgment around data quality, documentation, ownership, and long-term maintainability.

Requirements

• Experience supporting insurance, risk, trust, compliance, or financial data domains.
• Experience working with external partner data feeds, reconciliations, or operational reporting systems.
• Familiarity with experimentation data, executive metrics, or business performance dashboards.
• Experience improving data quality frameworks, observability, or automated testing for critical data assets.
• Experience building foundational datasets used across multiple teams and use cases.

Benefits

• Base pay range: $196,000 — $227,000 USD.
• Role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Company Description

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 connect with communities in a more authentic way.