Cloud Data Engineer
Data engineer on DoorDash's Tax Data Mart team in Mexico City, designing, building, and operating scalable ETL/ELT pipelines and warehouse models that power analytics and decision-making. Core stack includes SQL, Snowflake, Python, dbt, and orchestration tools like Airflow, Spark, or Kafka, with AI-assisted tooling.
- Compensation
- Not disclosed
- Location
- Mexico City, Mexico
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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-level SQL 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 proven ability to manage multiple projects and prioritize work
- Excellent written and verbal communication skills
- Project management experience, including project plans, milestones, and due dates
- Computer Science, Information Technology, Engineering, or a related degree
Full description
About the Team
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 global 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, including the maintenance of existing systems.
- Prepare documentation related to our data systems and processes.
- Share knowledge and best practices with engineers and analysts across the team.
We’re excited about you because…
- You have 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.
- You are an expert at using SQL with experience using Snowflake.