Analytics Engineer

Responsibilities

• Collaborate with data scientists, data engineers, and business stakeholders to translate business needs into data requirements
• Identify key business questions and develop structured solutions to generate insights
• Lead the development of data products and self-serve tools to scale analytics
• Build and maintain canonical datasets using high-volume ETL/ELT pipelines
• Design metrics and data visualizations using tools like Tableau, Sigma, and Mode
• Uphold high data integrity standards to increase reusability and standardization

Requirements

• 5+ years of experience in business intelligence, analytics engineering, or data engineering
• Strong proficiency in SQL for data transformation
• Proficiency in at least one functional/OOP language such as Python or Scala
• Expertise in creating reporting and data visualization solutions (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals including S3, Trino, Hive, and Spark
• Experience with SQL performance tuning
• Experience writing data quality checks (e.g., Pydeequ, Great Expectations)
• Excellent communication skills for working with technical and non-technical teams

Preferred Qualifications

• Experience with modern data warehousing platforms like Snowflake, Databricks, or Redshift
• Experience building multi-step ETL jobs and orchestrating workflows with Airflow, Dagster, or DBT
• Familiarity with experimentation concepts and A/B testing requirements

About the Company

DoorDash is a technology and logistics company on a mission to empower local economies. We are growing rapidly and looking for team members to help us expand from food delivery to a platform for all goods.