DoorDash USA
Staff Software Engineer, Data Engineering
DoorDash USA, San Francisco, California, United States, 94199
About the TeamData is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization, and financial reporting. The team serves as the foundation for decision-making at DoorDash.
About the RoleDoorDash is looking for a Staff Software Engineer, Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation, and tools to meet growing business needs.
You’re excited about this opportunity because you will...
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, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse.
Improve the reliability and scalability of our ingestion, data processing, ETLs, reporting tools, and data ecosystem services.
Manage a portfolio of data products that deliver high-quality, trustworthy data.
Help onboard and support other engineers as they join the team.
We’re excited about you because...
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 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/similar ecosystems (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming.
Excellent communication skills and experience working with technical and non-technical teams, along with knowledge of reporting tools.
Comfortable working in a fast-paced environment; self-starter and self-organizing.
Ability to think strategically, analyze, and interpret market and consumer information.
You must be located near one of our engineering hubs.
#J-18808-Ljbffr
About the RoleDoorDash is looking for a Staff Software Engineer, Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation, and tools to meet growing business needs.
You’re excited about this opportunity because you will...
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, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse.
Improve the reliability and scalability of our ingestion, data processing, ETLs, reporting tools, and data ecosystem services.
Manage a portfolio of data products that deliver high-quality, trustworthy data.
Help onboard and support other engineers as they join the team.
We’re excited about you because...
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 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/similar ecosystems (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming.
Excellent communication skills and experience working with technical and non-technical teams, along with knowledge of reporting tools.
Comfortable working in a fast-paced environment; self-starter and self-organizing.
Ability to think strategically, analyze, and interpret market and consumer information.
You must be located near one of our engineering hubs.
#J-18808-Ljbffr