Sr. Business Intelligence Engineer

DoorDash, Inc

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$118,300–$174,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $146k
$107k most similar roles pay here $222k

This role pays less than 63% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $146k versus about $169k 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 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 · Sr. Business Intelligence Engineer

As a Senior Business Intelligence Engineer at DoorDash, you will join the Data & Analytics Team within the Strategy & Operations - In-Store organization to build and maintain critical data infrastructure that supports decision-making across departments. Your daily tasks include establishing API connections to external data sources, modeling and surfacing data for key stakeholders, and architecting automated AI flows. You will also play a pivotal role in integrating SevenRooms' data ecosystem with DoorDash's systems, focusing on GTM-aligned initiatives and building the underlying infrastructure that enables AI capabilities within database and business platforms. This position requires expertise in DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, NetSuite, and proficiency in SQL, Python, and data pipeline orchestration tools like Airflow or Cloud Composer. You must have a strong track record of managing multiple high-priority initiatives independently and translating technical work into clear insights for non-technical stakeholders.

What you'll do

  • Build foundational AI infrastructure and data pipelines for organizational scalability.
  • Integrate SevenRooms and DoorDash systems to enhance data interoperability.
  • Develop governance mechanisms ensuring accuracy and reliability in data pipelines.
  • Collaborate with stakeholders to surface actionable insights from complex data.
  • Work across a modern tech stack including DBT, Looker, BigQuery, and more.

What we're looking for

  • 3+ years of hands-on experience with DBT and end-to-end data pipeline architecture.
  • 4+ years of SQL mastery and 2+ years of Python experience in real-world applications.
  • Experience deploying AI models in a business context and contributing to infrastructure scaling.
  • Track record of managing multiple high-priority initiatives, translating technical work into insights.
  • Rigorous approach to data quality and governance, building scalable systems for cross-department reliance.

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