Software Engineer, Data Platform

DoorDash • San Francisco, NY

1d

About The Position

The Core Data Platform organization owns the infrastructure needed to operate DoorDash’s analytical data stack. The Data Platform team spans data mobility frameworks, ingestion, infrastructure, tools, and governance. It designs and operates scalable compute and ingestion frameworks using technologies such as Spark, Flink, Kafka, Airflow, and modern lakehouse solutions, and builds abstractions and tools to simplify data workflows for engineers, analysts, and machine-learning practitioners. The teams also establish data quality, cataloging, privacy, and compliance standards to support trustworthy analytics and regulatory adherence.

In this role, you will help shape the platform roadmap and core technical decisions, enabling business-critical insights and real-time personalization. You will drive the vision and strategy for frameworks, scale the analytical platform to support growing data volumes and use cases, and apply expertise in high-scale systems with an emphasis on reliability, scalability, and cost efficiency. You will collaborate with stakeholders building on the platform and contribute to a positive, supportive engineering culture.

The role requires working from or relocating to San Francisco, Sunnyvale, Seattle, or New York. Compensation includes a localized base salary and opportunities for equity grants. The stated national base pay range is $130,600–$192,000 USD.

Requirements

• Bachelor’s, master’s, or Ph.D. in Computer Science or equivalent.
• At least 2 years of industry experience in software engineering.
• Proficiency using AI coding tools such as Claude Code, Codex, or Cursor throughout the software development lifecycle, including designing, generating code, testing, monitoring, and releasing software.
• Experience in big data domains such as streaming, batch processing, or data lake OLAP, and promoting real-time insights and data analytics at scale.
• Experience with technologies such as Apache Kafka, Flink, Spark, Cassandra, ClickHouse, or Iceberg.
• Located in or willing to relocate to the Bay Area, Seattle, or New York.

Nice To Haves

• Technical experience in big data infrastructure and governance, including having built meaningful components of data infrastructure.
• Experience with open-source technologies such as DataHub, Spark, Airflow, Kafka, or Flink.
• Experience improving the efficiency, scalability, and stability of data platforms.

Responsibilities

• Drive the vision and strategy for the frameworks charter and position it to address the challenges of a rapidly growing business.
• Scale the analytical platform to support increasing amounts of data and a growing range of use cases.
• Build and operate high-scale systems with a focus on reliability, scalability, and cost efficiency.
• Collaborate with stakeholders building solutions on top of the platform.
• Foster a positive and supportive work culture and help uplevel others.

Benefits

• 401(k) plan with employer matching
• 16 weeks of paid parental leave
• Wellness benefits
• Commuter benefits match
• Paid time off and paid sick leave
• Medical insurance
• Dental insurance
• Vision insurance
• 11 paid holidays
• Disability insurance
• Basic life insurance
• Family-forming assistance
• Mental health program
• Flexible paid time off/vacation for salaried roles
• 80 hours of paid sick time per year for salaried roles
• Vacation accrual for hourly roles
• Paid sick time accrual for hourly roles
• Opportunities for equity grants

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level