Analytics Engineer, Data Science

doordashusa · Austin, TX; Chicago, IL; New York, NY; San Francisco, CA; San Jose, CA; Seattle, WA; Los Angeles, CA; Washington D.C.

Posted
6 days ago
Last confirmed live
Today

What this role involves

The Analytics Engineer at DoorDash builds and scales data foundations, working with cross-functional teams to develop data products, ETL pipelines, and self-serve analytics tools. The role requires strong SQL and Python/Scala skills, experience with dashboarding tools, and data quality validation. It is open to non-managerial levels across multiple analytics domains.

Skills this posting asks for

  • sql
  • python
  • scala
  • looker
  • tableau
  • sigma
  • s3
  • trino
  • hive
  • spark
  • pydeequ
  • great expectations
  • etl
  • elt
  • data visualization
  • data warehousing
  • data lake
  • business intelligence
  • analytics engineering

Requirements

  • 2 years of experience
  • Level: mid

From the employer’s posting

<img style="display: none; max-width: 100%;" src="https://track.jobadx.com/v1/i.gif?utm_pixel=224e990b-8ff4-4287-8d5d-…

Read the full description on doordashusa’s careers page

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