Sr. Business Intelligence Engineer

About The Team

Our Business Intelligence team exists at the intersection of data and strategy, partnering closely with every department to ensure information is accessible, accurate, and actionable. We build the data products, pipelines, and infrastructure that power decision-making across the organization — from surfacing new business insights to moving data between systems with precision and reliability. As part of the DoorDash family, we are deeply focused on integrating SevenRooms' data ecosystem into the broader organization, creating connections that compound in value over time. We are a collaborative, business-first team that believes great data infrastructure is foundational to every meaningful outcome the company achieves.

About The Role

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.

We’re Excited About You Because...

• You have 3+ years of hands-on experience with DBT and at least 1 year owning and architecting production-grade data pipelines end-to-end, and 4+ years owning and administering a BI tool such as Looker, Tableau, or Mode
• You have 4+ years of demonstrated SQL mastery and 2+ years of Python experience applied to real-world data challenges, including API integrations, data extraction, and workflow orchestration via Airflow or Cloud Composer
• You have experience deploying or launching AI models in a business context and can confidently contribute to building the infrastructure needed to scale those capabilities further
• You have 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
• You bring 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

Paid Time Off Details

• Salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• Hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).