Senior Data Engineer, People Analytics

Airbnb · United Statessenior

En corto

▸Ingeniero de datos senior que construye pipelines y fundaciones de datos para analytics de personas y herramientas de IA.
▸Trabajas con sistemas HR (Workday, Greenhouse), creas dashboards (Streamlit), y aseguras gobernanza de datos sensibles.
▸Destacado: Impulsas el paso de prototipos de IA a producción con infraestructura robusta y segura.

Fluent in English

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓5+ años como ingeniero de datos o campo relacionado
✓Excelente dominio de SQL en Trino/Presto y Postgres
✓Experiencia con bases de datos relacionales y gestión administrativa
✓Fluidez en Python para integración con APIs y procesamiento de datos
✓Capacidad para trabajar con sistemas HR como Workday y Greenhouse
✓Conocimiento práctico del entorno Ubuntu y acceso SSH a instancias AWS

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

SQLTrino/PrestoPostgresPythonWorkdayGreenhouseStreamlitAWSUbuntuSSH

¿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: People Analytics & Research is a strong team of Data Scientists, Researchers, and Analysts. Our work is highly sought-after, and we prioritize work that impacts employees and the business. If you have a background in Data Engineering and are excited to help build Airbnb’s community, we want to hear from you. The difference you will make: The People Analytics & Research team is looking for an experienced Data Engineer to support our growing portfolio of data initiatives — from building data pipelines to delivering data foundations and analytical products that power EX's growing suite of AI-driven tools. Your responsibility spans data infrastructure, analytics engineering, and data product development. The role is highly cross-functional,and you will work with Talent Leaders, Recruiting, Legal, Diversity and Belonging, and other core people-oriented teams, as well as contribute to the AI-driven tools that make people data more accessible across the organization. Your Responsibilities: • Collaborate with other team members and stakeholders to help understand data- and people-related business problems and translate them into scalable data solutions • Build data pipelines and tables from HR systems such as Workday, Greenhouse, and other data sources • Support Data Science team members in leveraging data for reporting, dashboard development, and other client-facing use-cases • Build, update, and maintain a production-grade data foundation that supports AI initiatives — including pipelines that feed LLM-powered tools, evaluation and feedback datasets, and the access controls and data models required to responsibly scale AI products from prototype to production • Design and deliver data products, including dashboards and reporting tools (e.g., Streamlit visualization apps), that surface actionable insights for non-technical stakeholders • Write and optimize queries across both distributed query engine (Trino/Presto) and private relational database (Postgres) • Align on priorities and work from a roadmap, ensuring you are focusing on the highest-priority projects • Assess data readiness for AI use cases, working with EX teams, Legal, and BizTech to ensure sensitive employee data is handled with appropriate governance, permissioning, and access controls • Support the transition of AI prototypes to production by building the underlying infrastructure — automated pipelines, security controls, and stable data models — that prototypes require to scale • Exercise traits of adaptability and good judgment to support organizational agility • Be a constant learner, active listener, and teacher to advance data engineering, people analytics, and Airbnb Your Expertise: • 5+ years of industry experience as a Data Engineer, or closely related field • Highly proficient in SQL across both OLAP and OLTP environments, in both Trino/Presto/Hive, and Postgres syntax. • Strong command of the Ubuntu environment, showcasing the ability to navigate, manage, and edit files on AWS instances through SSH. • Experience working with relational databases and the ability to assume an administrative role in managing the database. • Fluent in Python, with demonstrated ability to interact with data sources (web APIs

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