The Analytics Engineer will play a key role in building and scaling data foundations that enable fast, reliable, and actionable insights at DoorDash. This highly technical role involves collaborating with data scientists, engineers, and business stakeholders to drive end-to-end analytics initiatives and deliver trusted data and metrics across the organization.
What You'll Do
- Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
- Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
- Lead the development of data products and self-serve tools that enable analytics to scale across the company
- Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
- Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
- Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization
What We're Looking For
- 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
- Strong proficiency in SQL for data transformation
- Comfort in at least one functional/OOP language such as Python or Scala
- Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
- Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
- Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
- Strong communication skills and experience working with technical and non-technical teams
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- Are able to work in a hybrid model in our office in São Paulo, Brazil
Technical Stack
- SQL
- Python
- Scala
- Tableau
- Sigma
- Mode
- Looker
- S3
- Trino
- Hive
- Spark
- Pydeequ
- Great Expectations
Team & Environment
Embedded within the Analytics and Data Engineering Orgs; works closely with Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators across Consumer & Growth, Business Operations, Dasher & Logistics, Customer Experience & Integrity, Merchant, Ads & Promotions, and New Verticals teams
Benefits & Compensation
- Comprehensive benefits and perks supporting employees’ happiness, healthiness, and overall well-being
- Support for employees’ careers through opportunities to share unique perspectives, solve new challenges, and own their careers
- Commitment to diversity and inclusion with diverse teams from all backgrounds, experiences, and perspectives
- Workplace inclusive of candidates with disabilities, including those registered with the national autism registry (SisTEA)
- Accommodations available upon request for applicants with disabilities
Work Mode
Hybrid model required; must be able to work in the São Paulo office
DoorDash is committed to growing and empowering a more inclusive community within our company, industry, and cities. We hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace. To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
