Analytics Engineer

About The Company DoorDash is a leading technology and logistics company dedicated to empowering local economies by connecting consumers with their favorite local merchants through innovative delivery solutions. With a mission to enable seamless access to goods and services, DoorDash continuously strives to enhance the efficiency and reach of its platform. The company fosters a dynamic, inclusive, and innovative work environment that values diversity, collaboration, and impact. As part of its commitment to employee well-being, DoorDash offers comprehensive benefits, competitive compensation, and opportunities for professional growth. Its culture emphasizes agility, customer-centricity, and a passion for leveraging data and technology to solve real-world problems.

About The Role As an Analytics Engineer at DoorDash, you will play a pivotal role in building and scaling the data infrastructure that supports fast, reliable, and actionable insights across the organization. You will collaborate closely with cross-functional teams—including Data Scientists, Data Engineers, Software Engineers, Product Managers, and Operations— to develop robust data products and self-serve analytics tools. Your work will focus on designing and maintaining high-volume, dependable ETL/ELT pipelines, creating canonical datasets, and developing metrics and visualizations to inform strategic decision-making. This is a highly technical position that requires a deep understanding of data engineering principles, proficiency in SQL, and experience with data visualization tools. Your contributions will directly influence product development, operational efficiency, and business growth by ensuring data integrity, reusability, and accessibility.

In this role, you will identify key business questions, translate them into technical requirements, and deliver solutions that scale across various teams. You will also champion data quality standards and best practices, ensuring the company’s data assets are trustworthy and standardized. If you thrive in fast-paced environments, enjoy solving complex technical challenges with data, and are eager to make a meaningful impact through analytics, this opportunity is ideal for you.

Qualifications

• 3+ years of experience in business intelligence, analytics engineering, data engineering, or a related field
• Strong proficiency in SQL for data transformation and performance tuning
• Experience with at least one programming language such as Python or Scala
• Expertise in creating reporting and data visualization solutions using tools like Tableau, Sigma, or Mode
• Familiarity with database fundamentals including S3, Trino, Hive, Spark
• Experience with data quality checks using tools like Pydeequ or Great Expectations
• Excellent communication skills, with the ability to work effectively with both technical and non-technical teams
• Ability to work independently in a fast-paced, dynamic environment
• Strategic thinking and analytical skills to interpret market and consumer data

Responsibilities

• Collaborate with data scientists, engineers, and business stakeholders to understand and translate business needs into technical data requirements
• Identify key business questions and develop structured data solutions to address them
• Lead the development of scalable data products and self-service analytics tools for broad organizational use
• Build and maintain reliable, high-volume ETL/ELT pipelines utilizing data lake and data warehousing concepts
• Design and implement metrics, dashboards, and visualizations using tools like Tableau, Sigma, or Mode
• Uphold data integrity standards, ensuring data reusability, readability, and standardization across teams
• Perform data validation and quality checks to maintain the accuracy and reliability of datasets
• Optimize database performance and troubleshoot issues related to data pipelines and queries
• Stay updated with emerging data technologies and best practices to continuously improve data infrastructure

Benefits

• Comprehensive health, dental, and vision insurance plans
• 401(k) plan with employer matching contributions
• Paid parental leave (up to 16 weeks)
• Wellness benefits and mental health programs
• Paid time off and paid sick leave in accordance with applicable laws
• Commuter benefits and wellness expense reimbursement
• Flexible paid time off for salaried roles and accrued vacation for hourly roles
• Disability and basic life insurance coverage
• Family-forming assistance and other employee support programs

Equal Opportunity

DoorDash is committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness. We are an equal opportunity employer and do not discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic.