Senior Software Engineer, Data Engineering

DoorDash, Inc

Hybrid

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k
This role $161k
$104k most similar roles pay here $235k

This role pays less than 56% of similar roles. Most pay $140,400–$217,725 — the shaded band above. At the midpoint, this role pays about $161k versus about $179k 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 · Senior Software Engineer, Data Engineering

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As a Senior Data Engineer at DoorDash, you will join the Data Engineering team to build and scale data infrastructure for reporting, product analytics, marketing optimization, and financial reporting. Your daily tasks include collaborating with business partners to define data requirements, designing high-performance data models and pipelines, implementing ETL processes, and ensuring data quality through monitoring routines. You’ll work extensively with AWS/GCP, Airflow, Flink, Snowflake, Redshift, PostgreSQL, Spark, Hive, Druid, Presto, Kafka, and streaming technologies while using Python or Java for development. This role demands expertise in database fundamentals, SQL, distributed computing, and experience with data engineering tools like Tableau and Looker. You must be located in Sunnyvale, San Francisco, or Seattle to support the team’s fast-paced environment and strategic growth.

Skills

Python Java Airflow Flink Oozie Azkaban AWS GCP Snowflake Redshift PostgreSQL Spark Hive Druid Presto Kafka Tableau Superset Looker SQL

What you'll do

  • Design and develop large-scale, high-performance data models and pipelines.
  • Implement ETL processes to ensure reliability and scalability of data infrastructure.
  • Conduct data quality checks and implement monitoring routines for data integrity.
  • Work with stakeholders to understand and meet business data requirements effectively.
  • Manage a portfolio of data products ensuring delivery of high-quality, trustworthy data.

What we're looking for

  • 5+ years of professional experience in data engineering or similar roles
  • Expertise in ETL orchestration tools like Airflow, Flink, and AWS/GCP services
  • Proficiency in SQL, distributed computing, and database fundamentals
  • Experience with Snowflake, Redshift, PostgreSQL, and other DBMS platforms
  • Knowledge of reporting tools such as Tableau, Superset, and Looker
  • Strong communication skills for technical and non-technical teams
  • Strategic thinking and ability to work in a fast-paced environment

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