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DoorDash USA

Analytics Engineer, Data Science

Austin, TX; Chicago, IL; New York, NY; San Francisco, CA; San Jose, CA; Seattle, WA; Los Angeles, CA; Washington D.C.From $172.8kmidAdded 1 month ago

About this role

DoorDash is seeking an Analytics Engineer to enhance their data-driven decision-making across various business units. In this role, you will work collaboratively with multiple teams to create data products and ensure data integrity through effective analytics solutions.

What you'll do

  • Collaborate with data scientists and business stakeholders to define data requirements
  • Develop structured solutions to identify and solve key business questions
  • Lead the creation of self-serve analytics tools across the company
  • Build and maintain reliable ETL/ELT pipelines for data processing
  • Design metrics and visualizations using tools like Tableau and Sigma
  • Uphold data integrity standards for increased data usability

What they're looking for

  • 2-6+ years of experience in analytics or similar role
  • Proficiency in SQL for data transformation
  • Knowledge of a programming language such as Python or Scala
  • Experience with dashboarding tools like Looker or Tableau
  • Familiarity with database fundamentals like S3 and SQL performance tuning
  • Ability to write data quality checks for validation
  • Strong communication skills for cross-functional collaboration
  • Capability to adapt in a fast-paced environment

Benefits

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Comprehensive wellness benefits
  • Paid time off and sick leave
  • Medical, dental, and vision coverage
  • Equity grant opportunities
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DoorDash USA

DoorDash USA is building autonomous delivery systems including drones and robots, along with internal infrastructure platforms to support large-scale operations. The company is hiring robotics engineers, autonomous systems specialists, infrastructure engineers, and platform software engineers to develop flight control systems, mapping and localization capabilities, and distributed computing platforms.

View all jobs at DoorDash USA

Likely interview questions

  • Walk us through a time you built or optimized an ETL/ELT pipeline. What challenges did you face and how did you ensure data quality?
  • Describe your experience with SQL performance tuning. What specific techniques have you used to optimize slow queries on large datasets?
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