Analytics Engineer, Data Science

About The Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

About The Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators. This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company.

Requirements

• You're excited about this opportunity because you will collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements.
• You'll identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them.
• You'll lead the development of data products and self-serve tools that enable analytics to scale across the company.
• You'll build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts.
• You'll design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode.
• You'll be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization.

Qualifications

• You have 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role.
• You have strong proficiency in SQL for data transformation, and comfort in at least one functional/OOP language such as Python or Scala.
• You have experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma).
• You have familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning.
• You have experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations).
• You have strong communication skills and experience working with technical and non-technical teams.
• You are comfortable working in fast-paced environments, self-starters, and self-organizers.
• You are able to think strategically, analyze and interpret market and consumer information.

Pay

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.

Benefits

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.

Paid Time Off

• 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).

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

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.