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Senior Data Engineer, Payments

Airbnb· AirCover Data Foundation
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Hybrid (United States)$196k - $227kFull-timePosted 5d ago

About the role

Senior Data Engineer on AirCover Data Foundation building and evolving trusted data systems for AirCover products and operations, partnering with engineers, product managers, analysts, data scientists, and business stakeholders to deliver robust data models and metrics that support AirCover programs and leadership reporting.

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.

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.

Skills

Required:ETL/ELT pipelinesData modelingDistributed data processing (Spark)SQLProgramming (Python/Scala/Java)Airflow

Benefits

  • This role may be eligible for bonus, equity, benefits, and Employee Travel Credits.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Airbnb

Book accommodations around the world.

Founded in August of 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover, and book unique accommodations around the world — online or from a mobile phone. Whether an apartment for a night, a castle for a week, or a villa for a month, Airbnb connects people to unique travel experiences, at any price point, in more than 33,000 cities and 192 countries. And with world-class customer service and a growing community of users, Airbnb is the easiest way for people to monetize their extra space and showcase it to an audience of millions. No global movement springs from individuals. It takes an entire team united behind something big. Together, we work hard, we laugh a lot, we brainstorm nonstop, we use hundreds of Post-Its a week, and we give the best high-fives in town. Headquartered in San Francisco, we have satellite offices in Dublin, London, Barcelona, Paris, Milan, Copenhagen, Berlin, Moscow, São Paolo, Sydney, and Singapore.

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