Senior Data Engineering, Payments

Details

Airbnb's AirCover Data Foundation team provides trustworthy, consistent data and metrics for business insights, decision-making, and operations across AirCover programs, including Guest Travel Insurance, AirCover for Hosts, and AirCover for Guests. The team manages the end-to-end data lifecycle, including ingestion and reconciliation with external insurance partners and the development of curated, analytics-ready data assets.

As a Senior Data Engineer, you will build and evolve data systems that support AirCover products and operations. You will work with software engineers, product managers, analysts, data scientists, and business stakeholders to identify data sources, design data models, and deliver reliable data models and metrics for experimentation, operational excellence, financial reconciliation, and leadership reporting.

Responsibilities

• Design, build, and maintain scalable data pipelines that ingest, reconcile, transform, and publish data for AirCover products and operations.
• Develop analytics-ready data models and metrics for executive reporting, claims and operations workflows, experimentation, financial reconciliation, and self-service analysis.
• Translate source-system behavior and external partner data feeds into trustworthy offline datasets.
• Ensure data quality, consistency, accuracy, and documentation across critical data assets.
• Improve pipeline reliability, maintainability, and observability through testing, monitoring, and engineering standards.
• Collaborate with Product, Engineering, Operations, Finance, Analytics, and Data Science teams to define requirements and deliver solutions.
• Contribute to Airbnb's broader Data Engineering community by influencing tooling, standards, and best practices.
• Help develop foundational data systems that scale with new markets, products, regulatory requirements, and partner requirements.

Requirements

• 6+ years of relevant industry experience in data engineering, software engineering, or a closely related field.
• Strong experience designing and maintaining production-quality ETL or ELT pipelines.
• Strong data modeling skills for business 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 data engineering programming language, 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 for working with technical and non-technical stakeholders.
• Sound judgment regarding data quality, documentation, ownership, and long-term maintainability.

Nice to Have

• Experience with 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.

Work Location

This position is US remote eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with the manager. Candidates must live in a state where Airbnb, Inc. has a registered entity. If the position is employed by another Airbnb entity, the recruiter will provide information about eligible states.

Compensation and Benefits

The base pay range is $196,000–$227,000 USD per year. The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Airbnb is committed to inclusion and belonging and provides a disability-inclusive application and interview process.