Senior Software Engineer, Analytics Infrastructure

Brazil · 8+ years experience · Posted Oct 13, 2026

At a glance

As a backend / fullstack software engineer on the Analytics Products team, you will have the opportunity to build data tools which enable data practitioners to efficiently explore and analyze data to create insights.
The team manages data products used by 7,000 monthly active users, including an in-house built AI for Data product, BI product (Apache Superset), and Notebooks and their integrations within the Data Platform tooling.

Shape up the future of AI powered Data Analytics at Airbnb by working on improvements to the AI agent for Data, researching industry best practices, and driving how internal users get value from data.
Collaborate with other data platform teams to build integrations of data tools with Airbnb's data platform’s ecosystem, such as metric infrastructure, data management platform, and data warehouse infrastructure.
Hold a high quality bar for data tools to ensure high stability and reliability for Airbnb’s data practitioners.
Build new features to support user’s workflows within data products including Superset, AI agent for Data, and Notebooks.
Engage with users of products to drive projects end to end, gather user feedback, collaborate with product managers, and create and manage feature roll out plans and migrations.
Contribute to maintaining a high technical quality bar by identifying quality or architecture improvements projects, improving testability, observability, and reviewing other’s code and technical designs.
Support users and the team’s operations via lightweight on-call support.

8+ years of full-time, relevant industry experience, with expertise in building backend or fullstack applications.
Hands-on experience with data (SQL, Data Engineering, Analytics Engineering) or internal data applications development.
Passion for building interactive and delightful user experiences and engaging with users.
Ability to drive cross functional projects including alignment, collaboration and roll out with partner teams and users.
Appetite for high quality code and robust systems, including observability and reliability.

Experience with building AI agents, context engineering, AI harness is a plus.
Expertise with frontend development - HTML, CSS, Typescript, Javascript and modern front-end frameworks such as React is a plus.
Experience in big data technologies e.g: Airflow, Spark, Trino, etc. is a plus.