Sr. Business Intelligence Engineer

DoorDash USA; United States; Remote; USD 118,300 - 174,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

wellness benefits

commuter benefits

paid time off

medical, dental, and vision benefits

mental health program

Job summary

DoorDash USA is looking for a Business Intelligence professional to design and implement data infrastructure that enhances productivity and supports scalability. The ideal candidate will manage critical data pipelines and integrate data between SevenRooms and DoorDash, working with a modern tech stack including DBT, Looker, and Salesforce. This role requires strong expertise in SQL and Python, along with the ability to collaborate across departments. Competitive compensation includes a salary range of $118,300 - $174,000, plus benefits.

Qualifications

• 3+ years of experience with DBT and at least 1 year of data pipeline architecture experience.
• 4+ years of demonstrated SQL mastery and 2+ years of Python experience.
• Experience deploying or launching AI models in a business context.

Responsibilities

• Build foundational AI infrastructure and data pipelines.
• Create API connections to external data sources.
• Integrate systems and data between SevenRooms and DoorDash.

Skills

DBT

SQL

Python

API integrations

Data pipeline architecture

Tools

Looker

Tableau

Airflow

Cloud Composer

Job description

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.

You’re excited about this opportunity because you will…

• 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

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

Compensation

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job‑related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market‑dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

$118,300 - $174,000 USD

DoorDash cares about you and your overall well‑being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family‑forming assistance, and a mental health program, among others.

The national base pay range for this position within the United States, including Illinois and Colorado.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non‑Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non‑binary or gender non‑conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently‑abled, caretakers and parents, and veterans are strongly encouraged to apply.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.