Staff Software Engineer, Data Engineering

Overview

DoorDash is seeking a Staff Software Engineer, Data Engineering to lead the architecture and scaling of data reliability and infrastructure.

What you'll do

• 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 data lake and data warehouse data models and pipelines.
• Improve reliability and scalability of ingestion, data processing, ETLs, and reporting tools.
• Manage a portfolio of data products delivering high-quality, trustworthy data.
• Onboard and support other engineers as they join the team.

What you'll need

• 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 using AI coding tools (e.g., Claude Code, Codex, Cursor) across the full software development lifecycle.
• Proficiency in programming languages including Python/Kotlin/Scala.
• 4+ years of experience in ETL orchestration and workflow management tools such as Airflow.
• Expertise in database fundamentals, SQL, data reliability practices, and distributed computing.
• 4+ years of experience with distributed data ecosystems (Spark, Presto) and streaming technologies (Kafka/Flink/Spark Streaming).

Details

• Must be located near one of DoorDash’s engineering hubs indicated above.