Data Integration Engineer

Doordash-Mexico; Ciudad de México; On-site; MXN 600,000 - 900,000; Full time

Job summary

DoorDash is seeking an experienced Data Engineer for the Tax Data Mart team in Mexico City. You will own data ingestion, transformation, and governance, building pipelines and infrastructure for analytics and decision-making while enabling scalable data systems across the company.

You will design, implement, and operate data pipelines, models, and warehouse structures, collaborating with Analytics, Data Science, and business teams.

Qualifications

• Minimum 5+ years in data engineering or similar role.
• Experience with DBT or similar data flow management tools.
• Proficiency in SQL (Snowflake) and Python for building pipelines.

Responsibilities

• Design, build, and maintain scalable data pipelines (ETL/ELT) powering analytics across the company.
• Develop data models and warehouse structures to support analytics and reporting.
• Collaborate with Analytics, Data Science, and business partners on new data sources and requirements.
• Monitor data quality, reliability, and observability; resolve data issues for internal stakeholders.
• Document data systems and processes and share best practices across the team.

Skills

5+ years experience

Strong communication

Independent worker

Education

CS/IT/Engineering degree

Tools

DBT

SQL/Snowflake

Python

Airflow

Spark/Kafka

AI tooling (Claude/Cursor)

Job description

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 Inclusion

We’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.

We use Covey as part of our hiring and/or promotional process for jobs in certain locations.

To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.