Senior Data Engineer, Airbnb for Real Estate
2024-07-31
USA
Airbnb
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Community You Will Join:
Whenever anyone thinks of Airbnb, the first thing that comes to mind is vacation homes . However this is actually a small segment of residential housing, the majority of the market is apartment homes. The Airbnb for Real Estate team’s mission is making these apartment homes more accessible for hosting on Airbnb. We do this by working with and supporting the owners, operators, and residents of these apartment homes. We also support professional hosts who partner with real estate operators to offer host stays in otherwise unutilized space.
The Difference You Will Make:
On the Airbnb for Real Estate team, you can have a significant impact on a wide range of Airbnb products and users. Whether you are working on one of our big bets or helping improve an established area of the business, you will be on a small team designed to maximize your ability to deliver results. If you are motivated by how much visibility your work has, how much it impacts the company's bottom line, how many users see your work, or how it will impact your career growth, the Airbnb for Real Estate team is a great place to launch your Airbnb career.
We are a small, entrepreneurial group within Airbnb. We move fast, and are passionate about our customers. We value and promote the diversity of our workforce, our guests, our hosts, our marketplace platform, and the world. We are an equal opportunity employer: We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.
Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues.
Strong architectural knowledge, comfort working across multiple repositories, services, and environments.
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: [email protected]. 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.How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range$185,000—$221,000 USD
Whenever anyone thinks of Airbnb, the first thing that comes to mind is vacation homes . However this is actually a small segment of residential housing, the majority of the market is apartment homes. The Airbnb for Real Estate team’s mission is making these apartment homes more accessible for hosting on Airbnb. We do this by working with and supporting the owners, operators, and residents of these apartment homes. We also support professional hosts who partner with real estate operators to offer host stays in otherwise unutilized space.
The Difference You Will Make:
On the Airbnb for Real Estate team, you can have a significant impact on a wide range of Airbnb products and users. Whether you are working on one of our big bets or helping improve an established area of the business, you will be on a small team designed to maximize your ability to deliver results. If you are motivated by how much visibility your work has, how much it impacts the company's bottom line, how many users see your work, or how it will impact your career growth, the Airbnb for Real Estate team is a great place to launch your Airbnb career.
We are a small, entrepreneurial group within Airbnb. We move fast, and are passionate about our customers. We value and promote the diversity of our workforce, our guests, our hosts, our marketplace platform, and the world. We are an equal opportunity employer: We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.
Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues.
Strong architectural knowledge, comfort working across multiple repositories, services, and environments.
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: [email protected]. 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.How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range$185,000—$221,000 USD