Analytics Engineer, Data Science

About The Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

About The Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators. This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company.

• You're excited about solving technical problems with data and being deeply embedded across several domains.
• You're comfortable being deeply embedded across several domains and collaborating with data scientists, data engineers, and business stakeholders to understand business needs and translate that scope into data requirements.
• You lead the development of data products and self-serve tools that enable analytics to scale across the company.
• You build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts.
• You design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode.
• You be a cross-functional champion at upholding high data integrity standards to increase reusability, readability, and standardization.

Requirements

You have 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role.

You have strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala.

You have experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma).

You have familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning.

You have experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations).

You have strong communication skills and experience working with technical and non-technical teams.

You are comfortable working in fast-paced environments, self-starters, and self-organizers.

You think strategically, analyze and interpret market and consumer information.

Qualifications

You have a bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

You have a strong understanding of data structures, algorithms, and software engineering principles.

You have experience with data modeling, data warehousing, and data integration techniques.

You have experience with data governance and data quality practices.

You have experience with data visualization tools and dashboards.

You have experience with data pipeline development and management.

Skills

You have strong proficiency in SQL for data transformation.

You are comfortable in at least one functional/OOP language such as Python or Scala.

You have experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma).

You have familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning.

You have experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations).

You have strong communication skills and experience working with technical and non-technical teams.

You are comfortable working in fast-paced environments, self-starters, and self-organizers.

Benefits

Compensation for this role includes opportunities for equity grants.

We offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act).

We offer medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.