Jobs / United States / Doordash INC
Sr. Business Intelligence Engineer
Doordash INC · 🇺🇸 New York, NY; San Francisco, CA; San Jose, CA; Seattle, WA; Los Angeles, CA; Washington D.C.; Austin, TX; Chicago, IL
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 396 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 147 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Doordash INC paid sponsored hires in similar roles2 certified filings for “Business Intelligence Analyst” (Data Scientists) in TX: $118k–$118k, median $118k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Doordash INC
The US Department of Labor certified 396 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 147 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Doordash INC →
About the role
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. 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 a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain • 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