Staff Software Engineer – Workflow Orchestration
| Company | Airbnb |
|---|---|
| Location | United States |
| Salary | $204000 – $260000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- 10+ 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, Python, or Scala.
- 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 working with data storage and distributed processing technologies (i.e. Hive, Spark, Trino, Flink or other SQL databases, etc …)
- 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.
Responsibilities
- Work with data infra engineers, data engineers, data scientists and product managers to design and build frameworks to support data development workflows.
- Developing and maintaining automation tools to streamline deployment and management of our platform.
- Maintain and evolve data engineering tooling to ensure high availability, reliability, usability and performance.
- Collaborate with data engineering and analytics teams to understand their needs and requirements to create a paved path for interacting with the data warehouse.
- Design & implement frameworks (applications) for processing data at scale such as a metrics platform, SQL generation framework or a data quality framework.
Preferred Qualifications
- BS/MS/PhD in Computer Science, a related field, or equivalent work experience preferred.