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Senior Data Engineering, Payments

AirbnbShort-term Rentals company
United States$196,000 - $227,000 USDSenior
Sequoia Capital logo
Sequoia Capital
Greylock Partners logo
Greylock Partners
Andreessen Horowitz logo
Andreessen Horowitz
Founders Fund logo
Founders Fund
Y Combinator logo
Y Combinator
Silver Lake
Data & AINew

About the role

TL;DR

Build and evolve trusted data systems for AirCover products and operations.

  • As a Senior Data Engineer on AirCover Data Foundation, you will build and evolve the trusted data systems that power AirCover products and operations.
  • You will partner closely with software engineers, product managers, analysts, data scientists, and business stakeholders to understand business needs, secure the right data sources, design high-quality data models, and deliver robust data models and metrics.
  • Key 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.
  • Requirements 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.
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Required skills

SQLSparkAirflowPythonScalaJava

Domain expertise

insurtech

Benefits & perks

bonus, equity, benefits, Employee Travel Credits

Tech stack

PythonSQLSparkAirflowScalaJava

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