Staff Software Engineer, Data Engineering

DoorDash, Inc

Quick summary

Work type: On-site
Location: San Francisco, CA · Sunnyvale, CA · Seattle, WA
Salary: $130,600–$192,000 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $161k

$119k most similar roles pay here $237k

This role pays less than 66% of similar roles. Most pay $142,450–$214,500 — the shaded band above. At the midpoint, this role pays about $161k versus about $178k 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 · Staff Software Engineer, Data Engineering

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As a Staff Software Engineer on DoorDash’s Data Engineering team, you will serve as a technical lead responsible for architecting and scaling data reliability, infrastructure, automation, and tools to support the company's growing needs. Your daily responsibilities include owning critical data systems that cater to multiple products and teams, developing best practices for data infrastructure, designing high-performance data models and pipelines, improving the reliability of ingestion and processing services, managing a portfolio of data products, and onboarding new engineers. You will work with technologies such as Python, Kotlin, Scala, Apache Airflow, Spark, Presto, Kafka, and Flink in a fast-paced environment to ensure high-quality, trustworthy data delivery for decision-making across the organization.

Skills

Python Kotlin Scala Airflow Spark Presto Flink SQL CI/CD Docker AWS PostgreSQL Kubernetes

What you'll do

Own and develop critical data systems supporting multiple products/teams.
Design and implement large-scale, high-performance data models and pipelines for Data Lake and Warehouse.
Improve reliability and scalability of ingestion, processing, ETLs, reporting tools, and ecosystem services.
Develop and enforce best practices for data infrastructure and automation across the organization.
Manage a portfolio of data products ensuring delivery of high-quality, trustworthy data.

What we're looking for

8+ years of professional experience as a hands-on engineer and technical leader
Extensive experience (6+) in data platform engineering, data infrastructure, or similar roles
Proficiency in AI coding tools for full software development lifecycle
Expertise in Python/Kotlin/Scala programming languages
Solid experience with ETL orchestration using Airflow
Deep knowledge of database fundamentals, SQL, and distributed computing systems
Experience with distributed data ecosystems (Spark, Presto) and streaming technologies

Hybrid

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Staff, Software Engineer

Walmart

Sunnyvale, CA 92 days ago $143,000–$286,000

Java Spring Boot Microservices SQL NoSQL Azure_Cosmos MySQL Oracle Cassandra ElasticSearch Solr MemCache Kafka Kinesis CI/CD

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