Software Engineer II, Data Engineering

DoorDash, Inc

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k
This role $161k
$118k most similar roles pay here $207k

This role pays less than 52% of similar roles. Most pay $126,800–$198,200 — the shaded band above. At the midpoint, this role pays about $161k versus about $162k 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 242 open roles on FindRole.

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

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At a glance

TL;DR · Software Engineer II, Data Engineering

As a Software Engineer II on DoorDash’s Data Engineering team, you will play a pivotal role in scaling the company’s data infrastructure to meet growing business needs. Your responsibilities include collaborating with stakeholders to define data requirements and designing high-performance data models and pipelines for the Data Lake and Warehouse. You’ll develop ETL processes, implement data quality checks, and ensure the reliability of our data products. Proficiency in Python/Java, experience with tools like Apache Airflow and AWS/GCP, and expertise in distributed computing systems such as Spark and Kafka are essential. Additionally, familiarity with Snowflake, Redshift, PostgreSQL, and reporting tools like Tableau is required. This role demands strong communication skills and the ability to work effectively in a fast-paced environment.

What you'll do

  • Design and implement large-scale data models and pipelines for Data Lake and Data Warehouse.
  • Develop high-performance ETL processes to ensure data reliability and scalability.
  • Conduct data quality checks, QA, and monitoring routines for data integrity.
  • Work with business partners to understand and meet their data requirements.
  • Manage a portfolio of data products ensuring delivery of high-quality, trustworthy data.

What we're looking for

  • 3+ years of professional experience in data engineering or a similar role.
  • Proficiency in Python/Java and ETL orchestration tools like Airflow, Flink, Oozie, Azkaban using AWS/GCP.
  • Expertise in database fundamentals, SQL, distributed computing, and streaming technologies such as Kafka/Flink.
  • Experience with Snowflake, Redshift, PostgreSQL, and other DBMS platforms.
  • Knowledge of reporting tools including Tableau, Superset, and Looker.

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