About the Team
Come help us build the world's most reliable on-demand logistics engine for delivery! We're bringing on experienced engineers to support our 24x7, global infrastructure system that powers DoorDash’s marketplace of consumers, merchants, and dashers.
About the Data Ingestion Team
The Data Ingestion team manages the seamless movement of trillions of telemetry and transaction data points from diverse sources to our data lakehouse in real-time. We integrate this data with online systems to empower business lines, drive machine learning models, and enable experimentation. Our team uses open-source technologies like Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build scalable, high-quality data ingestion frameworks. You will help evolve our systems to support DoorDash’s international growth, ensuring reliability and flexibility. This hybrid role requires you to be located in the Bay Area or Seattle.
Why You’ll Love This Role
- High Impact: Power multiple business lines with low-latency data, contributing to billions in revenue.
- Cutting-Edge Technology: Work with open-source tools like Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg.
- Scalability: Help scale our systems tenfold to support international expansion.
- Innovation and Excellence: Drive reliability and flexibility in our data infrastructure.
- Cross-Functional Collaboration: Work with Analytics, Product, and Engineering teams.
- Career Growth: Join a growing company with recognition and development opportunities.
Ideal Candidate
- B.S., M.S., or PhD. in Computer Science or equivalent.
- 2+ years of experience with CS fundamentals and programming in Scala, Java, or Python.
- Willing to be located in Bay Area or Seattle.
- Experience in Big Data solutions, especially open-source frameworks like Spark, Airflow, Kafka, Flink, Iceberg, Delta Lake.
- Proven ability to improve data platform efficiency, scalability, and stability.