Data Engineer, Search Engine Optimization
United States
Airbnb
Get an Airbnb for every kind of trip → 7 million vacation rentals → 2 million Guest Favorites → 220+ countries and regions worldwideAirbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
The 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. Airbnb, Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware or Rhode Island. As this list is continuously evolving and being updated, 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.
The Team
Search Engine Optimization
Data forms the foundation of SEO systems and platforms. We rely on massive amounts of data for our page building and content recommendation systems. Being able to correctly model and understand data is critical for the program’s success. As a relatively new area of the team’s expansion, many of our data models and streams are still in their infancy.
We’re looking for talented Data Engineers who will shape the development and future use of data across all SEO products. As a Data Engineer on the SEO team, you’ll work directly with product and engineering teams throughout the company to collect and utilize various types of data. You’ll design and develop models and streams that will control where and how we present content. This is a great opportunity to get in early on a platform and have an outsized impact on the product direction and experience.
The Role
Responsibilities
- Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive Airbnb business growth and improve the product experience.
- Build scalable Spark data pipelines leveraging Airflow scheduler/executor framework
- Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
- Understand and influence logging to support our data flow, architecting logging best practices where needed
- Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
- Improve data quality by using & improving internal tools to automatically detect issues
About You
- 3+ years of relevant industry experience
- Bachelor's and/or Master's degree, preferably in CS, or equivalent experience
- Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
- Experience designing and deploying high performance systems with reliable monitoring and logging practices
- Working knowledge of relational databases and query authoring (SQL)
- Excellent communication skills, both written and verbal
The Pay
Our job titles may span more than one career level. The starting base pay for this role is between $134,000 and $179,500. 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.
Belonging & Accommodations
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas foster innovation and engagement, allow us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com.
Tags: Airflow Data pipelines Data quality Engineering Pipelines RDBMS Spark SQL Streaming
Perks/benefits: Career development Salary bonus Startup environment
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