Sr. Business Intelligence Engineer

DoorDash

$118K — $174K *
US-AnywhereRemote in United States
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of hands-on experience with DBT and 1+ year owning production-grade data pipelines end-to-end.
  • 4+ years of SQL proficiency and 2+ years of Python experience for data extraction and API integrations.
  • Experience deploying AI models in a business context, contributing to scalable infrastructure.
  • Demonstrated ability to manage multiple high-priority initiatives while translating technical work for non-technical stakeholders.
  • Strong approach to data quality and pipeline governance, ensuring reliability of systems.

Responsibilities

  • Build AI infrastructure and data pipelines impacting organizational productivity.
  • Develop and manage API connections to external data sources.
  • Model and surface data for stakeholder decision-making across departments.
  • Integrate systems and data between SevenRooms and DoorDash innovatively.
  • Establish governance mechanisms ensuring accuracy across data pipelines.

Benefits

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Comprehensive wellness benefits
  • Commuter benefits match
  • Flexible paid time off and sick leave
  • Medical, dental, and vision benefits
  • 11 paid holidays
  • Disability and basic life insurance
  • Family-forming assistance and mental health programs
Full Job Description
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


We expect this position to be filled by 7/6/2026.

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.

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.

To learn more about our benefits, visit our careers page here.

See below for paid time off details:
  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For 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).


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

$118,300-$174,000 USD

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