Staff Data Engineer: Scale Data Pipelines & Platforms

DoorDash ANZ; San Francisco (CA); On-site; USD 131,000 - 285,000; Full time

Benefits offered by this job

Equity grants

401(k) match

Paid parental leave

Health, dental, vision benefits

Wellness benefits

Job summary

DoorDash is seeking a Staff Software Engineer, Data to lead architecture and scale our data reliability, data infrastructure, automation and tools for the data lake and data warehouse. You will own critical data systems, drive best practices, and help onboard engineers to this high-impact data platform.

You will collaborate across product analytics, marketing optimization and financial reporting teams, while applying expertise in Python/Kotlin/Scala, Airflow and distributed systems to deliver

Qualifications

• 8+ years of hands-on engineering and leadership
• 6+ years in data platform/engineering
• Proficiency with AI coding tools in the full software development lifecycle
• Proficiency in Python/Kotlin/Scala
• 4+ years of ETL orchestration with Airflow
• Expert in SQL and distributed computing
• 4+ years with Spark/Presto and streaming (Kaa/Flink/Spark Streaming)
• Excellent communication and cross-team collaboration
• Comfortable in a fast-paced environment and self-starting
• Strategic thinking and market/consumer information analysis
• Must be located near an engineering hub

Responsibilities

• Own critical data systems that support multiple products/teams
• Develop, implement and enforce best practices for data infrastructure and automation
• Design, develop and implement large-scale data models and pipelines for Data Lake and Data Warehouse
• Improve reliability and scalability of ingestion, data processing, ETLs and data ecosystem services
• Manage a portfolio of data products delivering high-quality, trustworthy data
• Mentor and onboard other engineers joining the team

Job description

DoorDash is seeking a Staff Software Engineer, Data to lead architecture and scale our data reliability, data infrastructure, automation and tools for the data lake and data warehouse. You will own critical data systems, drive best practices, and help onboard engineers to this high-impact data platform.

You will collaborate across product analytics, marketing optimization and financial reporting teams, while applying expertise in Python/Kotlin/Scala, Airflow and distributed systems to deliver