DoorDash

DoorDash

DoorDash empowers small business owners by providing an affordable and convenient platform for local delivery services, primarily focusing on restaurant food delivery.

Air Freight & Logistics
10K-50K
Founded 2012

Description

  • Collaborate with data scientists, data engineers, and business stakeholders to translate business needs into data requirements.
  • Identify key business questions and develop structured analytical solutions and insights.
  • Lead the development of data products and self-serve tools that scale analytics across the company.
  • Build and maintain canonical datasets using high-volume, reliable ETL/ELT pipelines.
  • Apply data lake and data warehousing concepts to support trusted analytics foundations.
  • Design metrics and data visualizations using dashboarding tools such as Tableau, Sigma, and Mode.
  • Uphold high data integrity standards to improve reusability, readability, and standardization.
  • Work cross-functionally with Product, Operations, Finance, and other teams to support decision-making.

Requirements

  • 3+ years of experience in business intelligence, analytics engineering, data engineering, or a similar role.
  • Strong proficiency in SQL for data transformation.
  • Comfort with at least one functional or object-oriented language such as Python or Scala.
  • Experience creating reporting and data visualization solutions using tools such as Looker, Tableau, or Sigma.
  • Familiarity with database fundamentals such as S3, Trino, Hive, and Spark.
  • Experience with SQL performance tuning.
  • Experience writing data quality checks to validate data integrity, such as Pydeequ or Great Expectations.
  • Excellent communication skills with experience working across technical and non-technical teams.
  • Comfort working in a fast-paced environment as a self-starter who can self-organize.
  • Ability to think strategically and analyze and interpret market and consumer information.
  • Experience with modern data warehousing platforms such as Snowflake, Databricks, or Redshift, preferred.
  • Experience building multi-step ETL jobs and orchestrating workflows with tools such as Airflow, Dagster, or dbt, preferred.
  • Familiarity with experimentation concepts like A/B testing, preferred.
  • Must be comfortable exercising discretion and independent judgment in day-to-day job duties.

Benefits

  • Base salary range of $117,500 to $172,800 USD.
  • Opportunities for equity grants.
  • 401(k) plan with employer matching.
  • 16 weeks of paid parental leave.
  • Medical, dental, and vision coverage.
  • 11 paid holidays.
  • Disability and basic life insurance.
  • Wellness benefits, including commuter benefits match, paid time off, paid sick leave, and mental health support.
  • Flexible paid time off/vacation for salaried roles, plus 80 hours of paid sick time per year.
  • Premium healthcare and wellness expense reimbursement.

Interested in this position?

Apply directly on the company website

Apply Now

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