196K–227K USD / year
Senior Data Engineer, Payments
DataRemote — United States
Published on 2026-10-21
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About this role
Build and maintain data systems and analytics-ready datasets supporting Airbnb’s AirCover protection products and operations. The role focuses on trustworthy data pipelines, models, and metrics for reporting, experimentation, financial reconciliation, and operational workflows.
About the company
Airbnb is a global online marketplace that connects travelers with hosts offering unique accommodations and experiences in various destinations. The platform serves individuals seeking short-term lodging as well as hosts looking to monetize their properties.
The team
AirCover Data Foundation team
Stack
SparkSQLPythonScalaJavaAirflow
What you'll do
- Build and maintain scalable pipelines to ingest, reconcile, transform, and publish AirCover data.
- Develop analytics-ready data models and metrics for reporting, operations, experimentation, and reconciliation.
- Improve data quality, pipeline reliability, testing, monitoring, and documentation.
- Collaborate with technical and business stakeholders to define requirements and deliver data solutions.
- Contribute to data engineering tools, standards, and best practices.
What we're looking for
- 6+ years of relevant data engineering, software engineering, or related experience.
- Experience designing and maintaining production ETL or ELT pipelines.
- Strong data modeling and SQL skills.
- Hands-on experience with Spark and distributed storage or processing systems.
- Proficiency in Python, Scala, or Java.
- Experience with workflow orchestration such as Airflow.
- Experience transforming structured and third-party data into reliable warehouse models.
- Strong communication and judgment around data quality, documentation, and maintainability.
Nice to have
- Experience in insurance, risk, trust, compliance, or financial data.
- Experience with external partner data feeds, reconciliations, or operational reporting.
- Familiarity with experimentation data, executive metrics, or performance dashboards.
- Experience with data quality frameworks, observability, or automated testing.
Benefits
- May be eligible for bonus, equity, benefits, and Employee Travel Credits.