DoorDash is seeking a Staff Software Engineer, Data to lead the architecture and scaling of data reliability and infrastructure. The Data Engineering team is crucial for decision-making, supporting various use cases such as reporting and product analytics. This role involves developing best practices for data infrastructure and managing a portfolio of data products. The ideal candidate will have extensive experience in data engineering and a passion for improving data systems.

• 8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.
• 6+ years of experience working in data platform and data engineering or a similar role.
• Proficiency in using AI coding tools in the full software development lifecycle.
• Proficiency in programming languages such as Python, Kotlin, or Scala.
• 4+ years of experience in ETL orchestration and workflow management tools like Airflow.
• Expert in database fundamentals, SQL, data reliability practices, and distributed computing.
• 4+ years of experience with distributed data ecosystems and streaming technologies.

• Own critical data systems that support multiple products and teams.
• Develop, implement, and enforce best practices for data infrastructure and automation.
• Design, develop, and implement large scale, high volume, high performance data models and pipelines.
• Improve the reliability and scalability of ingestion, data processing, ETLs, and reporting tools.
• Manage a portfolio of data products that deliver high-quality, trustworthy data.
• Help onboard and support other engineers as they join the team.