At a glance
- Experience
- 5+ years experience
- Location
- Brazil
About the role
- 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 Apache Superset, Notebook tool and AI for Data chat product and their integrations within the Data Platform tooling.
Responsibilities
- Shape up the future of Apache Superset through open source collaboration, internal user engagement and direct code contributions.
- Collaborate with other data platform teams to build integrations of our data tools with Airbnb's data platform’s ecosystem.
- Continue to hold high quality bar for our data tools, to ensure high stability and reliability for Airbnb’s data practitioners.
- Build new features to support user’s workflows within our data products and integrations.
- Collaborate with Apache Superset open source community and make contributions to the Apache Superset project.
- Prepare, test and release Superset OSS official releases internally for Airbnb.
- Engage with users of products our team owns to drive projects end to end, gather user feedback, 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 the team’s operations via lightweight on-call support.
Requirements
- 5+ years of full-time, relevant industry experience, with expertise in building backend services in Python.
- Appetite for high quality code and robust systems, including observability, and reliability.
- Ability to drive cross functional projects or migrations, including alignment, collaboration and roll out with partner teams and users.
- Passion for building interactive and delightful user experiences and engaging with users.
Preferred qualifications
- Expertise with frontend development - HTML, CSS, Typescript, Javascript and modern front-end frameworks such as React is a plus.
- Hands-on experience with data (SQL, Data Engineering) or big data technology is a plus, e.g: Airflow, Spark, Trino, etc.
- Experience in some combination of internal application development, data infrastructure, and analytics engineering is a plus.
Skills
- Python
- HTML
- CSS
- TypeScript
- JavaScript
- React
- SQL
- Airflow
- Spark
- Trino
- Apache Superset
