Sr. Business Intelligence Engineer

DoorDash USA

1d•$118,300 - $174,000

About The Position

In this role, you will sit at a strategic vertex within our technology organization, owning critical pieces of infrastructure that the entire business depends on. You will hit the ground running — establishing new API connections to external data sources, modeling and surfacing data to key stakeholders, and architecting automated AI flows that expand productivity across teams. A significant focus will be on GTM-aligned data initiatives, as well as building the underlying systems that enable AI capabilities within our database and business platforms. You will also play a vital integration role, marrying data between SevenRooms and DoorDash in ways that have yet to be fully realized, making this both a highly technical and highly strategic position. Within 6 to 12 months, you will be expected to have deep familiarity across our full data stack — including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, and NetSuite — independently driving initiatives across multiple departments and establishing governance standards that ensure pipeline accuracy and trust at scale. You will report into the Manager of Business Intelligence on our Data & Analytics Team under the Strategy & Operations - In-Store organization.

Requirements

3+ years of hands-on experience with DBT
At least 1 year owning and architecting production-grade data pipelines end-to-end
4+ years owning and administering a BI tool such as Looker, Tableau, or Mode
4+ years of demonstrated SQL mastery
2+ years of Python experience applied to real-world data challenges, including API integrations, data extraction, and workflow orchestration via Airflow or Cloud Composer
Experience deploying or launching AI models in a business context and can confidently contribute to building the infrastructure needed to scale those capabilities further
A track record of independently managing multiple high-priority initiatives at once, translating complex technical work into clear insights and recommendations for non-technical stakeholders across departments
A rigorous approach to data quality and pipeline governance, with the ability to build scalable systems that teams across the business can rely on with confidence

Responsibilities

Build foundational AI infrastructure and data pipelines that directly shape the scalability and productivity of the entire organization
Work across a modern, expansive tech stack including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, NetSuite, and more
Serve as a strategic link between SevenRooms and DoorDash, integrating systems and data in ways that haven't been tackled yet
Partner closely with stakeholders across every department — GTM, Finance, Operations, and beyond — to surface data that drives real decisions
Own governance and control mechanisms that ensure accuracy and reliability across all data pipelines