Software Engineer, Data Platform (All Teams)

DoorDash, Inc

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$130,600–$192,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $161k
$117k most similar roles pay here $222k

This role pays less than 56% of similar roles. Most pay $126,800–$211,650 — the shaded band above. At the midpoint, this role pays about $161k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 238 open roles on FindRole.

Listed pay typically runs $131,600–$193,500 across 156 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Software Engineer, Data Platform (All Teams)

As a Software Engineer at DoorDash’s Data Platform team, you will play a pivotal role in shaping and scaling the company's analytical data stack to support its rapid growth. Your responsibilities include driving strategic vision for high-scale systems, ensuring reliability and cost efficiency, and collaborating with stakeholders to build robust solutions. You will work extensively with technologies like Spark, Flink, Kafka, Airflow, and modern lakehouse solutions to foster a culture of innovation and trust in data analytics. Ideal candidates have 2+ years (I4 level) or 5+ years (I5 level) of industry experience, expertise in big data domains such as streaming and batch processing, and a track record of improving the efficiency and stability of data platforms. This role offers significant influence over core platform decisions and the opportunity to directly impact DoorDash’s business-critical insights and real-time personalization capabilities.

What you'll do

  • Drive the vision and strategy for building scalable data frameworks.
  • Scale analytical platforms to handle increasing data volumes and use cases.
  • Ensure reliability, scalability, and cost efficiency in high-scale systems.
  • Build and operate big data infrastructure using technologies like Kafka, Flink.
  • Improve efficiency, stability, and scalability of existing data platforms.

What we're looking for

  • 2+ years of industry experience at I4 level or 5+ years at I5 level
  • Expertise in big data domains including streaming, batch processing, and data lakes
  • Experience with technologies like Apache Kafka, Flink, Spark, Cassandra, Clickhouse, Iceberg
  • Prior technical experience in building and operating large-scale data infrastructure
  • Proven ability to improve efficiency, scalability, and stability of data platforms
  • Willingness to relocate or currently located in San Francisco, Seattle, New York

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