Time since we first saw it
Day 12
Similar jobs usually come down between day 6 and day 54.
From 10,824 similar postings that came down. Coming down is not always a hire.
Data Pipeline Engineer
Mexico City, Mexico
Actively hiring, first seen by us 12 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingYou 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.
Design, build, and maintain scalable, reliable data pipelines (ETL/ELT)
Develop and optimize data models and warehouse structures
Monitor data quality, reliability, and observability, and resolve issues
Leverage AI-assisted tooling to automate recurring data tasks and pipelines
Prepare documentation for data systems and processes
From the employer’s posting
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.
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
Monitor data quality, reliability, and observability, and resolve data-related issues for our internal business partners.
Leverage AI & AI assisted tooling to build and automate recurring data tasks & pipelines.
Prepare documentation related to our data systems and processes.
About DoorDash Mexico
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202612 days ago
- Recorded sightings
- 14
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
DoorDash Mexico is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- dbt
- Kafka
- Snowflake
- Spark
- Airflow
Where the posting names them
- You are an expert at using 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.
- Experience using Claude, Cursor and similar AI tools. - You are an expert at using SQL with experience using Snowflake. - Proficiency in Python (or a comparable language) for building data pipelines.
- 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.
- 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. - You have strong attention to detail and analytical, organizational, and problem-solving skills.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job 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.
- 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.
- You have strong attention to detail and analytical, organizational, and problem-solving skills.
- You’re an independently motivated person with a proven ability to manage multiple projects and prioritize work independently.
- You have 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.
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Source details
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- Pay
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- Location & working pattern
Mexico City, Mexico
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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