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Analytics Engineer

1 hour, 32 minutes ago
United States
Full-time
Mid Level
Analytics Engineer
Data Science and Analytics
Apache Airflow Apache Spark AWS Dagster Databricks dbt Hive Looker Mode Python Scala Snowflake SQL Tableau Trino
Apply Now
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
View All Jobs 54

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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