Analytics Engineer

Responsibilities

• Design, develop, and maintain robust data models to support analytical and product data needs
• Collaborate with data engineers, data scientists, and business stakeholders to translate requirements into scalable solutions
• Implement and optimize ETL/ELT processes to ensure data quality and performance
• Own and define business KPIs, measurement plans, and reporting requirements
• Build visually appealing and high-performing reporting/dashboard products using tools like Tableau or Sigma
• Address ad-hoc reporting requirements and find pathways for automation

Requirements

• 3+ years of experience in business intelligence, data analytics, or data engineering
• Strong SQL skills and experience with data modeling techniques (dimensional modeling, 3NF, data vault)
• Proficiency in Python or Scala
• Experience building reporting solutions using Snowflake or similar data lake ecosystems
• Expertise in database fundamentals and performance tuning
• Excellent communication skills for working with technical and non-technical teams
• Ability to work in a fast-paced, self-organized environment
• Fluency in English for interviews

Preferred Qualifications

• Experience with real-time data processing and streaming technologies
• Experience with modern data warehousing platforms like Databricks or Redshift
• Knowledge of data visualization tools such as Looker or Tableau
• Familiarity with machine learning concepts and data requirements

About the Company

DoorDash is building the world’s most reliable on-demand logistics platform. We are a technology and logistics company dedicated to empowering local economies through a massive network of Dashers, merchants, and consumers.