Airbnb, a global leader in the travel and hospitality industry, is seeking a Staff Software Engineer to join their Workflow Orchestration team. This role sits at the heart of Airbnb's data infrastructure, working with the team responsible for data workflow orchestration solutions that power everything from offline analytics to AI/ML model development.
The position offers an exciting opportunity to work with the founding team of Apache Airflow, alongside professionals with diverse experience in various orchestration solutions. You'll be instrumental in designing and building frameworks that support data development workflows, working closely with data infrastructure engineers, data scientists, and product managers.
Your day-to-day responsibilities will involve developing and maintaining automation tools, ensuring high availability and reliability of data engineering tooling, and implementing frameworks for processing data at scale. You'll be working with cutting-edge technologies including distributed processing systems, containerization platforms, and various workflow orchestration solutions.
The ideal candidate brings 10+ years of software engineering experience with a strong focus on data infrastructure. You should be proficient in languages like Java, Python, or Scala, and have extensive experience with data storage technologies, SQL, and containerization platforms. Your background should demonstrate expertise in workflow orchestration solutions like Apache Airflow, Luigi, or similar systems.
Airbnb offers a competitive compensation package including a base salary range of $204,000 to $255,000 USD, plus potential bonus, equity, and Employee Travel Credits. The position is US-Remote eligible, offering flexibility while maintaining connection with Airbnb's collaborative culture through occasional office visits or offsites.
This role presents an exceptional opportunity to impact how data is processed and utilized at scale within one of the world's most innovative technology companies. You'll be part of a team that values diverse ideas and fosters innovation, working on solutions that directly influence Airbnb's data capabilities and business decisions.