Senior Data Engineer, People Analytics

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