Airbnb Senior Software Engineer Workflow Orchestration 

United States 

964644262

• Architect, design, and implement scalable, reliable, and highly available data infrastructure solutions to support workflow orchestration across the company.
• Develop and maintain automation tools, streamlining deployment and management of the workflow orchestration platform.
• Collaborate with infrastructure engineers, data engineers, and other users of the data warehouse to ensure efficient integration and smooth operation of our platform with other systems and services.
• Conduct performance testing and help optimize our orchestration platform to meet the evolving needs of internal users.
• Manage and prioritize multiple projects and tasks, communicating progress and status with key stakeholders.
• Participate in technical discussions, code reviews, and pair programming sessions to foster knowledge-sharing and team growth.
• Provide input on best practices to improve scalability, reliability, and usability for the data platform.

• 5+ years of experience in software engineering, with a focus on data infrastructure or supporting data engineers and/or data scientists.
• Strong programming skills in one or more of the following languages: Java and Python.
• Experience building data applications that create and implement higher-level abstractions on top of the lower-level data infrastructure to simplify complex data operations, improve scalability, and enhance overall system performance.
• Experience with data modeling, database design and various SQL dialects.
• Experience with containerization technologies such as Docker and Kubernetes.
• Extensive background in workflow orchestration solutions such as Apache Airflow, Luigi, Azkaban, Oozie, Prefect or Kubeflow.
• Utilize experience in Data Engineering to optimize processes and bring forth new ideas and technologies that enhance our data capabilities.
• Excellent communication skills and the ability to collaborate with cross-functional teams to build empathetic tools and platforms.
• Excellent analytical and problem solving skills.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience preferred.

Offices: United States