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Analytics Engineer

DoorDash

San Francisco, CA
Full Time
Mid Level
118k-257k
26 days ago

Job Description

About the Role

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. 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.

Key Responsibilities

  • Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements.
  • Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them.
  • Lead the development of data products and self-serve tools that enable analytics to scale across the company.
  • Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts.
  • Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode.
  • Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability, and standardization.

Requirements

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

Nice to Have

  • Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance.
  • Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g., Airflow, Dagster, DBT).
  • Familiarity with experimentation concepts like A/B testing and their data requirements.

Qualifications

  • Educational background is not explicitly specified, but at least 3+ years of relevant experience is required.

Benefits & Perks

  • Opportunities for equity grants.
  • Comprehensive benefits package including 401(k) with employer matching.
  • 16 weeks of paid parental leave.
  • Wellness benefits, commuter benefits match, paid time off, and paid sick leave.
  • Medical, dental, and vision benefits.
  • 11 paid holidays, disability and basic life insurance.
  • Family-forming assistance and mental health programs.

Working at 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 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. We value diversity and inclusion, and strive to grow and empower a more inclusive community within our company, industry, and cities. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

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Job Details

Posted AtJul 2, 2025
Job CategoryData Analytics
Salary118k-257k
Job TypeFull Time
ExperienceMid Level

Job Skills

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About DoorDash

Website

doordash.com

Company Size

10000+ employees

Location

San Francisco, CA

Industry

Mobile Food Services

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