DoorDash is looking for an experienced Data Engineer to join our growing Tax Data Mart team. This role will be a key contributor to the team and will be responsible for building and operating the data pipelines and infrastructure that power analytics and decision-making across the company.
As DoorDash continues to grow its integral footprint across multiple business lines, we are looking for a candidate with experience designing and maintaining scalable data systems. This person will support and grow our unique community via your blend of engineering, technology, and process improvement experience.
About the Role
You will be reporting to the Manager of Tax Data Mart, and play an integral role in DoorDash’s data function, owning the processes for ingesting, transforming, and controlling our data, ensuring accuracy, and making it available to analytics and business users.
As a member of this team, you will lead the design, implementation, and operation of data pipelines and related processes to support the Company’s exponential growth.
You’re excited about this opportunity because you will…
• Design, build, and maintain scalable, reliable data pipelines (ETL/ELT) that serve data across the company
• Develop and optimize data models and warehouse structures to support analytics and reporting
• Participate in new business initiatives and identify their impact on existing data system(s) and processes.
• Work closely with Analytics, Data Science, and business partners in the development and validation of new data sources.
• Identify and document business, functional and technical requirements to support new business initiatives and to enhance existing system functionality.
• Leverage AI & AI assisted tooling to build and automate recurring data tasks & pipelines.
• Monitor data quality, reliability, and observability, and resolve data-related issues for our internal business partners.
• Participate in defining the Company’s data tooling needs, i
📌 Associate Manager (Ciudad de México)
🏢 DoorDash Mexico
📍 Ciudad de México
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