Staff Data Platform Engineer: Scale & Reliability

Doordashusa; San Francisco (CA); On-site; USD 130,600 - 285,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Wellness benefits

Paid time off

Medical, dental, and vision benefits

Job summary

Doordashusa is seeking a Staff Software Engineer, Data in San Francisco to lead data reliability and infrastructure projects. This role will involve architecting and scaling systems to meet business needs. Ideal candidates will have 8+ years of experience and proficiency in programming languages like Python, Kotlin, and Scala.

Applicants should be ready to manage critical data systems, implement best practices, and work in a fast-paced environment. Strong communication skills and experience with data platforms are essential.

Qualifications

• 8+ years of experience as a hands-on engineer and technical leader.
• 6+ years in data platform and data engineering roles.
• Proficient with AI coding tools in the software development lifecycle.
• Experience with distributed data ecosystems and streaming technologies.

Responsibilities

• Own critical data systems for multiple products/teams.
• Develop and enforce best practices for data infrastructure.
• Design high-performance data models and pipelines.
• Improve data processing, ETLs, and reporting tools.

Skills

Python

Kotlin

Scala

ETL orchestration

SQL

Kafka

Flink

Spark

Tools

Airflow

Spark

Presto

Job description

Doordashusa is seeking a Staff Software Engineer, Data in San Francisco to lead data reliability and infrastructure projects. This role will involve architecting and scaling systems to meet business needs. Ideal candidates will have 8+ years of experience and proficiency in programming languages like Python, Kotlin, and Scala.

Applicants should be ready to manage critical data systems, implement best practices, and work in a fast-paced environment. Strong communication skills and experience with data platforms are essential.