Engineering Manager, Data

DoorDash, Inc

Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CASunnyvale, CASeattle, WA
Salary
$193,800–$285,000 / yr
Posted
7 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k
This role $239k
$131k most similar roles pay here $301k

This role pays more than 78% of similar roles. Most pay $147,875–$232,425 — the shaded band above. At the midpoint, this role pays about $239k versus about $190k for comparable roles.

Based on 239 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 242 open roles on FindRole.

Listed pay typically runs $130,600–$192,000 across 161 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Engineering Manager, Data

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As an Engineering Manager in Data at DoorDash, you will lead a growing team of data engineers focused on building enterprise-scale data solutions and enhancing the developer experience through robust tools. Your role involves acting as a technical expert for data architecture to support data engineers, scientists, and partners across the organization. You will foster an engineering culture that prioritizes reliability and quality while driving innovation in a fast-paced environment. Key responsibilities include hiring and growing teams, implementing continuous improvement of data architecture, and collaborating with stakeholders on large-scale ETL orchestration and big data processing systems. Ideal candidates have 10+ years of experience in data engineering, hands-on management skills, and expertise in technologies like Snowflake/Redshift, AWS/GCP, Hadoop/Spark, Flink/Airflow, and Delta Lake/Iceberg. This role is crucial for DoorDash's mission to leverage data as a strategic asset at scale.

Skills

Snowflake Redshift AWS GCP Hadoop Spark Lambda Kappa Flink Airflow Delta Lake Apache Iceberg CockroachDB Cassandra PostgreSQL SQL Python

What you'll do

  • Lead the development of enterprise-scale data solutions for DoorDash.
  • Act as a technical expert on data architecture to support data engineers and scientists.
  • Foster an engineering culture focused on reliability, quality, and excellence.
  • Hire, grow, and nurture a high-performing team of data professionals.
  • Drive innovation by breaking down large systems into reusable components.
  • Plan and execute both short-term wins and long-term strategic initiatives.
  • Collaborate with stakeholders, external partners, and peer leaders for cross-functional success.

What we're looking for

  • 10+ years of experience in data engineering or a related field
  • At least 2 years of hands-on management experience
  • Proven ability to hire, grow, and nurture impactful business-focused data teams
  • Expertise in Snowflake/Redshift, AWS/GCP, Hadoop/Spark, Lambda/KAPPA architectures
  • Hands-on coding skills in SQL and Python for closing gaps in data infrastructure
  • Experience with large-scale batch/real-time ETL orchestration and big data processing systems
  • Familiarity with cloud-based environments like AWS and Datalake solutions such as Delta Lake

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