DoorDash USA
Software Engineer, Data Platform (All Teams)
About this role
DoorDash seeks a Software Engineer for the Core Data Platform team to design and operate scalable data infrastructure supporting analytics and real-time personalization. You'll work on data mobility, ingestion, and governance frameworks while enabling engineers and analysts across the company to derive reliable business insights from massive datasets.
What you'll do
- Design and operate scalable compute and ingestion frameworks using Spark, Flink, Kafka, and Airflow
- Drive vision and strategy for data platform frameworks handling rapid business growth
- Build abstractions and tools that simplify data workflows for engineers, analysts, and ML practitioners
- Establish data quality, cataloging, privacy, and compliance standards
- Collaborate with stakeholders using the platform to inform architecture decisions
- Improve efficiency, scalability, and stability of analytical data systems
What they're looking for
- Apache Spark, Kafka, Flink, or Airflow
- Big data infrastructure and governance
- Streaming and batch processing systems
- Lakehouse or data lake OLAP technologies (Iceberg, Clickhouse, Cassandra)
- AI coding tools (Claude Code, Codex, Cursor)
- System design for high-scale reliability and cost efficiency
- Experience with open-source data technologies
- Data quality and metadata management
Benefits
- 401(k) plan with matching
- Comprehensive benefits package
- Equity grant opportunities
- Opportunity to shape core platform roadmap
- High-impact work enabling business-critical insights
- Supportive work culture with professional development
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DoorDash USA
DoorDash USA is building autonomous delivery systems including drones and robots, along with internal infrastructure platforms to support large-scale operations. The company is hiring robotics engineers, autonomous systems specialists, infrastructure engineers, and platform software engineers to develop flight control systems, mapping and localization capabilities, and distributed computing platforms.
View all jobs at DoorDash USALikely interview questions
- Describe your experience building or operating big data infrastructure at scale. What technologies (Spark, Kafka, Flink, etc.) have you worked with, and what were your key contributions?
- Tell us about a time you improved the efficiency, scalability, or stability of a data platform. What challenges did you face and how did you measure success?