Job Url: https://www.glassdoor.com/Job/united-states-python-jobs-SRCH_IL.0,13_IN1_KO14,20.htm?remoteWorkType=1&fromAge=3 Job Description: Airbnb 4.2 Senior Data Engineer, Infrastructure Apply on employer site United States · $191K - $223K (Employer provided) Apply on employer site Your qualifications for this job Do you have any of these qualifications? HDFS Hadoop TensorFlow PyTorch Show more Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 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: At Airbnb, our mission is to create a world where anyone can belong anywhere. We use Data and Machine Learning extensively to create a more connected, empowered, and safer global community and enable an intelligent & worry-free travel experience. ML Infrastructure, which is the team you will join in, is tasked to provide common shared foundations for modeling, data, governance and productivity to ensure Airbnb’s AI/ML models and applications are built with the highest standards in the industry. The Difference You Will Make: As part of our team, you'll build the essential AI/ML data foundations powering all AI/ML use cases across Airbnb—spanning Trust & Safety, Payments, Customer Support, Marketing, Search Ranking, and more. You’ll define and implement industry-leading best practices, pipelines, and tools to streamline data creation and consumption, ensuring efficiency, consistency, and compliance. Your contributions will significantly accelerate AI/ML innovation, enabling rapid development and deployment of high-quality, impactful AI/ML solutions company-wide. Additionally, you'll play a pivotal role in shaping our cutting-edge Generative AI infrastructure, positioning AI at the heart of Airbnb’s future. A Typical Day: Design, build, automate, and maintain robust, scalable data pipelines using SparkSQL, Scala, and Airflow. Develop and optimize data models ensuring high-quality, consistent, and accurate data to support broad AI/ML product feature decisions. Collaborate closely with peer ML Infra teams to deliver automated data solutions driving AI/ML acceleration. Contribute to scalable GenAI infrastructure by leveraging foundational language and vision models to create high quality datasets that power cutting edge GenAI applications. Partner with key customer teams to deliver high-impact, high-quality datasets core to Airbnb's roadmap. Utilize leading open-source technologies including Spark, Airflow, Ray, MLFlow, TensorFlow, PyTorch, Docker, Kubernetes, and more. Your Expertise: 5+ years of relevant industry experience (BS/Masters) or 2+ years with a PhD. Strong coding skills in Python, Java, or equivalent languages. Hands-on experience with distributed processing technologies (Spark, Kafka, Flink, Hadoop) and distributed storage (HDFS, S3). Solid knowledge of data warehousing concepts and databases (e.g. PostgreSQL, MySQL, Redshift, BigQuery, ClickHouse). Expertise building scalable ETL pipelines using schedulers like Airflow, Luigi, Oozie, or AWS Glue. Proven ability to analyze large datasets, identify insights, and drive impactful product solutions. Excellent written and verbal communication skills; comfortable collaborating cross-functionally. Experience building end-to-end Machine Learning platforms and deploying ML models. Familiarity with Kubernetes, Docker, and modern infrastructure tools. Deep understanding of distributed systems and engineering best practices. 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. 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 $191,000—$223,000 USD Show less Base pay range The minimum salary is $191K and the max salary is $223K. $191K – $223K/yr (Employer provided) $207K /yr Median United States If an employer includes a salary or salary range on their job, we display it as "Employer Provided". If a job has no salary data, Glassdoor displays a "Glassdoor Estimate" if available. To learn more about "Glassdoor Estimates," see our FAQ page. Related community posts Airbnb data engineer Product Manager 3w Meta and Google Interview Tips Look through ALL the materials the recruiter shares and practice. Come up with a rough framework to leverage during the product sense and execution interviews but don’t follow it dogmatically if certain parts don’t apply. Don’t be afraid to ask your interviewers to clarify scope or focus to guide your responses. You should be driving but you can validate that you’re on the same planet as the interviewer Meta Google DoorDash OpenAI Anthropic AI Netflix Airbnb 8 6 Comments Associate Attorney 1mo What’s the timeframe for hearing back from the recruiting team currently? Does Airbnb HR respond to every applicant to let them know either way or do they just ghost folks if it’s a pass? 1 Comment See what other Senior Data En... are saying Interview Tips 537K members Salary Negotiations 561K members See more posts Want your application to stand out? Starting conversations can lead to better insights than asking for referrals. Ask for advice Company overview Size 5001 to 10000 Employees Founded 2008 Type Company - Public Industry