Senior Data Engineer, Payments Platforms

Airbnb; United States; Remote; USD 196,000 - 227,000; Full time

Job summary

Airbnb's AirCover Data Foundation team is seeking a Senior Data Engineer to build trusted data systems powering AirCover products and operations. You will partner with software engineers, product managers, analysts, data scientists, and business stakeholders to design high-quality data models and deliver robust analytics-ready datasets.

You will design scalable pipelines, ensure data quality and documentation, and collaborate across teams to enable trusted decision making, experimentation, and

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.

Responsibilities

• 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.

Skills

ETL/ELT pipelines

Data modeling

SQL

Python/Scala/Java

Spark

Airflow

Data quality

Communication

Tools

Airflow

Spark

Job description

Airbnb's AirCover Data Foundation team is seeking a Senior Data Engineer to build trusted data systems powering AirCover products and operations. You will partner with software engineers, product managers, analysts, data scientists, and business stakeholders to design high-quality data models and deliver robust analytics-ready datasets.

You will design scalable pipelines, ensure data quality and documentation, and collaborate across teams to enable trusted decision making, experimentation, and