Senior Data Engineer, Payments - Careers

Airbnb

Quick summary

Work type: On-site
Location: San Francisco, CA · Bangalore, India
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $186k

$132k most similar roles pay here $240k

This listing doesn't post a salary. Most similar roles pay $142,400–$229,500.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 75 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 45 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer, Payments - Careers

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Join the Payments team at Airbnb as a senior data engineer, where you will design and build robust data pipelines using SparkSQL and Scala to ensure compliance with Tax, Payments, and Legal regulations. Your daily tasks include developing efficient data models for analysis, collaborating with cross-functional teams like Data Science and Product Management, and contributing to the broader Data Engineering community by setting standards and best practices. You’ll work with large datasets at petabyte scale using technologies such as Spark, Kafka, Flink, and Airflow, while ensuring high accuracy and quality in data processing and storage. This role demands expertise in Scala or Python, SQL query authoring, ETL schedulers like Apache Airflow, and a solid understanding of relational and columnar databases.

Skills

Spark Scala Apache Airflow Python SQL PostgreSQL Redshift Kafka HBase ClickHouse Data Warehousing ETL Distributed Data Platforms BigQuery CI/CD

What you'll do

Design and maintain robust data pipelines for collecting, processing, and storing large datasets.
Develop accurate data models to enable efficient analysis and manipulation of data for business optimization.
Build scalable data pipelines using SparkSQL and Scala with Airflow scheduler/executor framework.
Ensure high data quality by detecting and mitigating issues through internal tools and practices.
Contribute to the development of standards and best practices in Airbnb’s Data Engineering community.

What we're looking for

6+ years of industry experience in data engineering or related field.
Bachelor’s degree in computer science or relevant technical discipline.
Proficient in Scala, Python, and SQL for data processing and analysis.
Extensive experience with distributed data platforms (Spark, Kafka, Flink).
Expertise in ETL scheduling tools like Apache Airflow and AWS Glue.
Strong knowledge of data warehousing concepts and relational databases.
Excellent communication skills for collaboration across cross-functional teams.

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