Analytics Engineer

DoorDash, Inc

Actively hiring Posted today Verified listing

San Francisco, CA · Sunnyvale, CA · Seattle, WA Posted 1 day ago $117,500–$172,800 / year

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99+ other roles within 25 mi Near San Francisco, CA

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k

This role $145k

$99k most similar roles pay here $211k

This role pays less than 55% of similar roles. Most pay $126,800–$199,850 — the shaded band above. At the midpoint, this role pays about $145k versus about $163k for comparable roles.

Based on 240 similar postings.

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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.

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At a glance

TL;DR

As an Analytics Engineer at DoorDash, you will join a team embedded within the Analytics and Data Engineering Orgs to build internal data products that scale decision-making across business teams. Your day-to-day responsibilities include collaborating with data scientists, engineers, and stakeholders to develop ETL/ELT pipelines for high-volume datasets, creating metrics and visualizations using tools like Tableau, and ensuring data integrity through quality checks. You will need strong SQL proficiency, experience in Python or Scala, and familiarity with modern data warehousing platforms such as Snowflake and Databricks. This role requires excellent communication skills to work effectively across technical and non-technical teams in a fast-paced environment, driving the company’s reliance on data for strategic decision-making at all levels.

Skills

SQL Python Tableau Trino Hive Spark Snowflake Databricks Redshift Airflow DBT Looker Sigma Mode Pydeequ Great Expectations CI/CD

What you'll do

Translate business needs into data requirements by collaborating with stakeholders.
Develop structured solutions to address key business questions and problems.
Lead the creation of self-serve analytics tools for company-wide scalability.
Build high-volume, reliable ETL/ELT pipelines using modern data lake concepts.
Design metrics and visualizations with dashboarding tools like Tableau or Sigma.

What we're looking for

3+ years of experience in business intelligence, analytics engineering, or data engineering roles.
Strong proficiency in SQL and at least one functional/OOP language (Python, Scala).
Expertise in creating reporting and data visualization solutions using tools like Tableau.
Experience with database fundamentals and SQL performance tuning.
Familiarity with modern data warehousing platforms and ETL job orchestration.
Excellent communication skills for working across technical and non-technical teams.

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