Data Engineer Jobs at DoorDash with Visa Sponsorship
Data Engineer jobs at DoorDash involve building data infrastructure across massive scale, real-time pipelines, and complex logistics data. The company has a consistent track record of sponsoring work visas for Data Engineers, supporting candidates through both nonimmigrant and immigrant visa pathways.
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Get Access To All JobsAbout The Team
The SevenRooms Data & Analytics team is the foundational data hub for the SevenRooms business — owning the pipelines, models, dashboards, and predictive systems that power decisions across GTM, Product, Finance, and Partnerships. We sit at the intersection of SevenRooms and the broader DoorDash data ecosystem, and we partner globally with teams across the US, UK, UAE, and Australia supporting all customer segments from SMB through Enterprise. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption.
About The Role
We're hiring a Manager of Data & Analytics to lead the SevenRooms D&A team — a team of six (and growing to eight) analysts and engineers responsible for the data products, AI systems, and reporting infrastructure that the rest of the business runs on. You will be both a people leader and a senior technical voice in the room: coaching analysts and engineers on their craft, owning the data roadmap end-to-end, partnering with executive stakeholders across geographies and segments, and rolling up your sleeves on the highest-complexity work. In your first 90 days, you will absorb the team's in-flight roadmap, build trust with stakeholders across S&O, GTM, Product, Finance, and Partnerships, and partner with leadership on the prioritization framework that governs what the team takes on next. Our 2026 roadmap spans the full data value chain: GenAI agents that audit Salesforce in real time, churn and ICP models that drive CSM and AE prioritization, the MRR/ARPV reporting layer that finance and leadership run the business on, and the Netsuite integration that will modernize how we report revenue. You will report into the Senior Manager, Strategy & Operations in our In-Store organization.
You’re Excited About This Opportunity Because You Will…
- Lead, coach, and grow a team of senior analysts and BI engineers — running performance, career development, and hiring end-to-end.
- Own the D&A roadmap across GTM, Product, Finance, and Partnerships, balancing the team's investment between predictive AI/ML systems, traditional reporting, and cross-functional analytics.
- Act as the senior data voice in executive conversations — translating business problems into technical scope, pushing back when a request is the wrong shape, and influencing how leaders across segments make decisions.
- Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI.
- Partner closely with GTM Engineering, GTM Systems, and Revenue Insights to define a clean "Build vs. Run" operating model and unlock the next generation of AI-powered GTM products.
- Contribute to the team-wide AI developer infrastructure (skills libraries, MCP integrations, prompt frameworks) that makes every D&A engineer and analyst faster at deploying AI.
- Help establish the technical patterns and reusable components that will power our next generation of GTM AI products as the function scales.
We’re Excited About You Because…
- 6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment, with demonstrated technical depth in SQL, DBT, and a modern cloud data warehouse (Snowflake or BigQuery).
- 2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development.
- Hands-on experience owning enterprise data infrastructure (Looker or equivalent BI tooling, DBT modeling at scale, Salesforce-to-warehouse pipelines) and the judgment to know when to invest in foundations versus ship for speed.
- Proven track record of partnering with executive stakeholders across functions — translating ambiguous business problems into scoped technical work, and pushing back constructively when scope or data readiness is the real blocker.
- Working fluency with modern AI and ML approaches (predictive modeling, LLM-powered workflows, the GenAI tooling ecosystem) and the ability to mentor a team building production AI systems.
- Strong written and verbal communication skills, including the ability to lead distributed teams across multiple time zones and represent the team in senior cross-functional forums.
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. $141,400—$208,000 USD
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
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. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
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.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.
About The Team
The SevenRooms Data & Analytics team is the foundational data hub for the SevenRooms business — owning the pipelines, models, dashboards, and predictive systems that power decisions across GTM, Product, Finance, and Partnerships. We sit at the intersection of SevenRooms and the broader DoorDash data ecosystem, and we partner globally with teams across the US, UK, UAE, and Australia supporting all customer segments from SMB through Enterprise. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption.
About The Role
We're hiring a Manager of Data & Analytics to lead the SevenRooms D&A team — a team of six (and growing to eight) analysts and engineers responsible for the data products, AI systems, and reporting infrastructure that the rest of the business runs on. You will be both a people leader and a senior technical voice in the room: coaching analysts and engineers on their craft, owning the data roadmap end-to-end, partnering with executive stakeholders across geographies and segments, and rolling up your sleeves on the highest-complexity work. In your first 90 days, you will absorb the team's in-flight roadmap, build trust with stakeholders across S&O, GTM, Product, Finance, and Partnerships, and partner with leadership on the prioritization framework that governs what the team takes on next. Our 2026 roadmap spans the full data value chain: GenAI agents that audit Salesforce in real time, churn and ICP models that drive CSM and AE prioritization, the MRR/ARPV reporting layer that finance and leadership run the business on, and the Netsuite integration that will modernize how we report revenue. You will report into the Senior Manager, Strategy & Operations in our In-Store organization.
You’re Excited About This Opportunity Because You Will…
- Lead, coach, and grow a team of senior analysts and BI engineers — running performance, career development, and hiring end-to-end.
- Own the D&A roadmap across GTM, Product, Finance, and Partnerships, balancing the team's investment between predictive AI/ML systems, traditional reporting, and cross-functional analytics.
- Act as the senior data voice in executive conversations — translating business problems into technical scope, pushing back when a request is the wrong shape, and influencing how leaders across segments make decisions.
- Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI.
- Partner closely with GTM Engineering, GTM Systems, and Revenue Insights to define a clean "Build vs. Run" operating model and unlock the next generation of AI-powered GTM products.
- Contribute to the team-wide AI developer infrastructure (skills libraries, MCP integrations, prompt frameworks) that makes every D&A engineer and analyst faster at deploying AI.
- Help establish the technical patterns and reusable components that will power our next generation of GTM AI products as the function scales.
We’re Excited About You Because…
- 6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment, with demonstrated technical depth in SQL, DBT, and a modern cloud data warehouse (Snowflake or BigQuery).
- 2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development.
- Hands-on experience owning enterprise data infrastructure (Looker or equivalent BI tooling, DBT modeling at scale, Salesforce-to-warehouse pipelines) and the judgment to know when to invest in foundations versus ship for speed.
- Proven track record of partnering with executive stakeholders across functions — translating ambiguous business problems into scoped technical work, and pushing back constructively when scope or data readiness is the real blocker.
- Working fluency with modern AI and ML approaches (predictive modeling, LLM-powered workflows, the GenAI tooling ecosystem) and the ability to mentor a team building production AI systems.
- Strong written and verbal communication skills, including the ability to lead distributed teams across multiple time zones and represent the team in senior cross-functional forums.
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. $141,400—$208,000 USD
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
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. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
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.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.
See all 36+ Data Engineer Jobs at DoorDash
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer Jobs at DoorDash.
Get Access To All JobsTips for Finding Data Engineer Jobs at DoorDash
Tailor your portfolio to logistics data
DoorDash Data Engineer roles consistently involve real-time pipeline work, geospatial data, and marketplace analytics. Showcasing projects in streaming systems like Kafka or Flink signals direct relevance before your resume reaches a recruiter.
Target roles specifying Spark or Airflow
DoorDash job postings for Data Engineers often list Spark, Airflow, and Flink as core requirements. Filtering for these tools in your search narrows you to teams actively building the infrastructure stack where your skills map cleanly.
Clarify your visa type early in screening
DoorDash sponsors multiple visa categories for this role. Stating your current status and work authorization timeline upfront, before a technical screen, prevents late-stage delays and helps the recruiter loop in immigration counsel early.
Align your offer timeline with H-1B cap dates
If you need an H-1B, USCIS opens registration in March for an October 1 start. Targeting DoorDash interviews in late Q3 or Q4 gives you time to secure an offer and complete registration before the window closes.
Verify your LCA reflects your actual work location
DoorDash operates across multiple U.S. offices and remote arrangements. The DOL Labor Condition Application must list the specific worksite where you'll be based. A mismatch between your offer letter location and the LCA is a common filing error.
Use Migrate Mate to find open Data Engineer roles
DoorDash's Data Engineer openings are spread across teams and updated frequently. Browse verified visa-sponsoring positions directly through Migrate Mate to surface roles matched to your authorization type without sifting through listings that don't sponsor.
Frequently Asked Questions
Does DoorDash sponsor H-1B visas for Data Engineers?
Yes, DoorDash sponsors H-1B visas for Data Engineer roles. The company has an established pattern of filing petitions for engineering and technical positions, and Data Engineers fall squarely within that scope. If you're currently on OPT or another nonimmigrant status, DoorDash's recruitment and HR teams are familiar with the H-1B process and typically coordinate with outside immigration counsel to manage filings.
Which visa types does DoorDash commonly sponsor for Data Engineers?
DoorDash sponsors a range of visa types for Data Engineer positions, including H-1B, H-1B1 visa for Chilean and Singaporean nationals, E-3 visa for Australian citizens, TN visa for Canadian and Mexican professionals, and F-1 OPT and CPT for students. For longer-term pathways, DoorDash also supports Green Card sponsorship through EB-2 and EB-3 PERM-based petitions for qualifying employees.
What qualifications does DoorDash expect for Data Engineer roles?
DoorDash Data Engineer roles typically require a bachelor's or master's degree in Computer Science, Engineering, or a related field, combined with hands-on experience in distributed data systems. Proficiency in Python or Scala, experience with tools like Apache Spark, Airflow, or Flink, and familiarity with cloud platforms such as AWS or GCP are consistently cited in job postings. Experience with real-time streaming pipelines is a strong differentiator.
How do I apply for Data Engineer jobs at DoorDash?
You can apply through DoorDash's careers site or find visa-sponsoring Data Engineer openings filtered by authorization type on Migrate Mate. Before applying, review the specific team's tech stack in the job description, since Data Engineering at DoorDash spans logistics, merchant, and consumer infrastructure with different tooling. Applying to the right team fit increases your chances of moving through the technical screen.
How do I time my job search at DoorDash if I need visa sponsorship?
If you need an H-1B and are currently on F-1 OPT, you have up to 60 days after OPT expiration as a grace period, but your employment must not lapse. Start your DoorDash job search at least three to four months before your OPT ends. If you're applying for an H-1B cap-subject petition, USCIS registration opens in March for an October 1 start date, so securing an offer by February gives you the clearest runway.