Staff Data Engineer - Host Pricing & Settings

The Community You Will Join: We are seeking a Staff Data Engineer to join the Host Pricing & Settings ML Infra team. As a Staff Data Engineer, you will work closely with our Product, Data Science and ML engineering teams to build strategies, programs, and tools to improve the quality, efficiency, and speed of the Host Pricing team’s ML training data and infrastructure. This team is responsible for the data and infrastructure that drives Airbnb’s Pricing guidance products. We are looking for a Staff DE who is passionate about efficient data management, scaled ML infrastructure and helping teams iterate quickly on new ML and GenAI models. The Difference You Will Make: As a Staff Data Engineer in the Host Pricing & Settings team, you will play a pivotal role in defining the vision, technical design, and implementation of systems that ensure the integrity, correctness, efficiency, and consistency of our organization's data to drive the evolution of pricing guidance and personalization for our Host community. Your expertise in designing and implementing scalable systems will be essential in building a robust data infrastructure that safeguards user data and empowers rapid iteration of ML models. A Typical Day: • Design and implement data pipelines by leveraging best-in-class tools and infrastructure to meet critical business and product requirements. • Develop high quality data assets for product and AI/ML use-cases • Collaborate with cross-functional teams to gather requirements, assess data needs, and design efficient solutions that align with business objectives. • Contribute to the development of long-term data strategies and roadmaps and ML infrastructure development within the organization. • Influence the trajectory of data in decision making • Improve trust in our data by championing for data quality across the stack • Identify and actively work upon opportunities for automation and implement data management tools and frameworks to enhance efficiency and productivity. • Mentor and coach team members, providing guidance in data engineering best practices and support to enhance their skills and performance. Your Expertise: • 9+ years of experience with a BS/Masters or 6+ years with a PhD • Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala • Experience with Superset and Tableau • Expertise in large-scale distributed data processing frameworks like Presto or Spark • Experience with an ETL framework like Airflow • Extensive knowledge of data management concepts, including data modeling, ETL processes, data warehousing, and data governance. • Understanding of data security and privacy principles, as well as regulatory compliance requirements (e.g., GDPR, CCPA). • Strong problem-solving skills and the ability to translate business requirements into technical solutions. • Excellent communication skills, both written and verbal, ability to distill complex ideas for technical and non-technical stakeholders • Strong capability to forge trusted partnerships across working teams Your Location: Remote - USA 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 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. Apply Job!