Senior Software Engineer - Data Engineering
The Community You Will Join:
We are currently hiring for multiple teams:
Payments: We are building a world-class payments platform — one that currently supports 190+ countries and regions, 70+ currencies, connects dozens of payment providers and banks, and processes multiple billions of dollars. As the platform grows, we’ll be adding new payment partners, global licenses, and building new payment experiences for our guests and hosts. The Payments team builds a scalable foundation to support global scale, helps the company grow by bringing new markets and demographics to the platform, and enables new business initiatives to thrive by providing easy to use payment services.
Apps and Compliance: This team is responsible for building scalable, high quality data sets and solutions to enable Airbnb to comply with Tax, payments and legal regulations to ensure business continuity. In addition, this team is responsible for building data sets for Airbnb’s internal applications (e.g. CRM data, projects data, workspace data) to fuel growth and drive operational efficiencies. Community Support Data Platform: Community Support Platform organization keeps our hosts and guests supported throughout the entire Airbnb experience. The Data team is responsible for providing and governing trustworthy data foundations and metrics for critical data across experimentation, ML, measurement, product, and operational insights. Your work will empower ML and backend engineers, analytics teams, and operations teams while contributing to Airbnb's 10-Star customer service vision and initiatives like Differentiated Services and CSxAI.
The Difference You Will Make:
Payments: As Airbnb expands its presence, it faces a host of unique challenges: managing this large volume of data, deriving information and insights from it, using it to make informed business decisions, and creating data-powered products. We also want to ensure that our financial data has high fidelity, is available in a timely fashion, is comprehensive, is organized in a way that is easy to understand, and is easily discoverable. This problem is more relevant today, as our entire payments infrastructure is undergoing a major overhaul, with systems being redesigned in a service-oriented architecture.
Apps and Compliance: Our team charter is on enabling Airbnb to comply with Tax, Payments, and Legal regulations so that our Hosts can continue to operate in regulated geos. Our products ingest, process, validate, and deliver large datasets to government authorities (often partnered with tax remittance) so our data must be of the highest accuracy and quality. As you build and maintain key components of the critical Compliance data ecosystem, you’ll have the opportunity to contribute to creating standards and best practices for Airbnb’s Data Engineering. Your work on solving complex business challenges at scale will be instrumental in shaping the tools, processes, and standards used by the broader data community.
A Typical Day:
Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues
Your Expertise:
5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD
Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3)
Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
Excellent written and verbal communication skills
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
About the job
Apply for this position
Senior Software Engineer - Data Engineering
The Community You Will Join:
We are currently hiring for multiple teams:
Payments: We are building a world-class payments platform — one that currently supports 190+ countries and regions, 70+ currencies, connects dozens of payment providers and banks, and processes multiple billions of dollars. As the platform grows, we’ll be adding new payment partners, global licenses, and building new payment experiences for our guests and hosts. The Payments team builds a scalable foundation to support global scale, helps the company grow by bringing new markets and demographics to the platform, and enables new business initiatives to thrive by providing easy to use payment services.
Apps and Compliance: This team is responsible for building scalable, high quality data sets and solutions to enable Airbnb to comply with Tax, payments and legal regulations to ensure business continuity. In addition, this team is responsible for building data sets for Airbnb’s internal applications (e.g. CRM data, projects data, workspace data) to fuel growth and drive operational efficiencies. Community Support Data Platform: Community Support Platform organization keeps our hosts and guests supported throughout the entire Airbnb experience. The Data team is responsible for providing and governing trustworthy data foundations and metrics for critical data across experimentation, ML, measurement, product, and operational insights. Your work will empower ML and backend engineers, analytics teams, and operations teams while contributing to Airbnb's 10-Star customer service vision and initiatives like Differentiated Services and CSxAI.
The Difference You Will Make:
Payments: As Airbnb expands its presence, it faces a host of unique challenges: managing this large volume of data, deriving information and insights from it, using it to make informed business decisions, and creating data-powered products. We also want to ensure that our financial data has high fidelity, is available in a timely fashion, is comprehensive, is organized in a way that is easy to understand, and is easily discoverable. This problem is more relevant today, as our entire payments infrastructure is undergoing a major overhaul, with systems being redesigned in a service-oriented architecture.
Apps and Compliance: Our team charter is on enabling Airbnb to comply with Tax, Payments, and Legal regulations so that our Hosts can continue to operate in regulated geos. Our products ingest, process, validate, and deliver large datasets to government authorities (often partnered with tax remittance) so our data must be of the highest accuracy and quality. As you build and maintain key components of the critical Compliance data ecosystem, you’ll have the opportunity to contribute to creating standards and best practices for Airbnb’s Data Engineering. Your work on solving complex business challenges at scale will be instrumental in shaping the tools, processes, and standards used by the broader data community.
A Typical Day:
Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues
Your Expertise:
5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD
Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3)
Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
Excellent written and verbal communication skills
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.