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Senior Analytics Engineer

DoorDash Mexico Mexico City, Мексика
On-site work

Publication date: 11/11/2026

DoorDash is looking for an experienced Data Engineer to join the 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. The role reports to the Manager of Tax Data Mart and owns the processes for ingesting, transforming, and controlling data, ensuring accuracy, and making it available to analytics and business users.

Responsibilities

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 internal business partners; Participate in defining the Company's data tooling needs, including the maintenance of existing systems; Prepare documentation related to data systems and processes; Share knowledge and best practices with engineers and analysts across the team

Requirements

5+ years of experience in a data engineering or similar role; Experience using Data Build Tool (DBT) or a similar product to manage data flows; Experience using Claude, Cursor and similar AI tools; Expert SQL skills with experience using Snowflake; Proficiency in Python (or a comparable language) for building data pipelines; Experience with modern data stack and orchestration tools such as Airflow, Spark, or Kafka; Strong attention to detail and analytical, organizational, and problem-solving skills; Independently motivated with a proven ability to manage multiple projects and prioritize work independently; Excellent written and verbal communication skills; Project management experience, including creation of project plans, milestones, and due dates; Computer Science, Information Technology, Engineering, or a related degree

Benefits

Comprehensive benefits and perks
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