Staff Software Engineer, Data Warehouse

Airbnb · USAsenior

En corto

▸Constructor de plataformas de datos a gran escala para análisis y machine learning.
▸Gestión y mejora continua de infraestructura distribuida con alta confiabilidad y eficiencia costes.
▸Contribuciones significativas al software open source en tecnologías de datos como Trino e Iceberg.

Strong communication skills, both written and verbal.

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¿Qué piden?

✓10+ años de experiencia en infraestructura de datos con enfoque en big data.
✓Experiencia probada con sistemas distribuidos escalables y tolerantes a fallos.
✓Dominio de Spark, Trino, Kubernetes y lenguajes como Java o Scala.
✓Capacidad para resolver problemas complejos en infraestructura de datos.
✓Habilidades de colaboración y comunicación efectiva en equipo.
✓Experiencia en contribuir a proyectos open source con impacto en la industria.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

HadoopSparkTrinoIcebergAirflowKubernetesJavaScalaSQLNoSQL

¿A quién escribirle en Airbnb?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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: Data represents the voice of Airbnb’s users at scale. The Data Warehouse Infrastructure team is responsible for the foundational big data infrastructure, which is used by hundreds of engineers to collect, manage, and analyze data at scale. We are using open source technologies like Hadoop, Spark, Trino, Iceberg, Airflow etc. A Typical Day: • Design and build the next generation big data compute platform to empower data ETL, analytics and machine learning at Airbnb • Operate, manage and improve the reliability, performance, observability and cost efficiency of the platform. • Write maintainable and self-documenting code, perform code reviews. • Work on, and contribute to open source software, and have industry impact. Your Expertise: • BS/MS/PhD in Computer Science, a related field, or equivalent work experience preferred. • 10+ years of experience working with data infrastructure, with a focus on big data technologies. • Proficiency in big data technologies such as Spark, Presto/ Trino, Kubernates. • Strong programming skills in languages such as Java, Scala. • Extensive experience in designing, building, and maintaining scalable, fault-tolerant distributed systems. • Demonstrated expertise in multi-threading and concurrency programming. • Familiar with database systems, both SQL and NoSQL. • Proven ability to collaborate with other teams to define system requirements, identify potential solutions, and test and integrate systems. • Capacity to troubleshoot and resolve complex data infrastructure problems. • Strong communication skills, both written and verbal. • Ability to work effectively in a team environment. 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

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