Data Platform Engineering - Internship
Chipotle Mexican Grill
Newport Beach, California
Posted 3 days ago
Responsibilities
Primary Duties
- Enable data engineering with building and maintaining scalable data pipelines in DBT and Azure Data Factory
- Take ownership of maintaining select non-prod environments
- Collaborate with platform analysts and engineers to design solutions aligned to team standards
- Develop IaC (Terraform) for Azure, Databricks, and Snowflake
- Apply team standards for security, governance, observability, cost, and performance
- Help maintain our MDM (Master Data Management) platform
- Manage code in Azure DevOps and coordinate changes across teams
- Participate in design/architecture discussions and code reviews
- Add data quality checks and help triage pipeline issues
- Document processes, datasets (catalog), lineage, and PII handling
- Support development of the internal data integration framework
- Work with system owners to resolve source data issues
- Partner with enterprise teams, data science, and architects to define requirements and solutions
Full Job Description
Data Platform Engineering - Internship
Cultivate a better world. Food served fast does not have to be a typical fast-food experience. Chipotle has always done things differently, both in and out of our restaurants. We are changing the face of fast food, starting conversations, and directly supporting efforts to shift the future of farming and food. We hope you will join us as we continue to learn, evolve, and shape what comes next on our mission to make better food accessible to everyone.
The opportunity. We are looking for a Data Platform Engineer who will help make our next decade just as revolutionary as our past. If you're one of the super-talented who thrive on change, aren't afraid to take risks, love to make a difference, and want to cultivate a better world, you're the right fit. Come grow with us.
The Data Platform Engineer for the Data, Insights and Analytics team at Chipotle will be assisting in building and maintaining our new enterprise data warehouse on Snowflake. You will be responsible for building data engineering solutions and processes to enable analytics, business intelligence, and Master Data Management. This role will also be responsible for creating and maintaining the new data pipelines to leverage data at scale while helping Chipotle migrate off our legacy data warehouse(s).
Key responsibilities:
Key qualifications:
Pay transparency. Pay rate is $30 per hour, depending on skill level, experience, and education. Compensation offered is also subject to local wage and hour laws.
Who we are. Chipotle Mexican Grill, Inc. (NYSE: CMG) is cultivating a better world by serving responsibly sourced, classically cooked, real food with wholesome ingredients without artificial colors, flavors or preservatives. Chipotle has restaurants in the United States, Canada, the United Kingdom, France, and Germany and is the only restaurant company of its size that owns and operates all its restaurants in North America and Europe. With employees passionate about providing a great guest experience, Chipotle is a longtime leader and innovator in the food industry. Chipotle is committed to making its food more accessible to everyone while continuing to be a brand with a demonstrated purpose as it leads the way in digital, technology, and sustainable business practices.
Chipotle Mexican Grill is an equal opportunity employer that values diversity at all levels. As a people-first company rooted in values, our purpose extends beyond serving nutritious food using real ingredients. It means hiring world-class individuals and fostering a culture that champions diversity, ensures equity, and celebrates inclusion. All qualified applicants, regardless of personal characteristics, are encouraged to apply.
Cultivate a better world. Food served fast does not have to be a typical fast-food experience. Chipotle has always done things differently, both in and out of our restaurants. We are changing the face of fast food, starting conversations, and directly supporting efforts to shift the future of farming and food. We hope you will join us as we continue to learn, evolve, and shape what comes next on our mission to make better food accessible to everyone.
The opportunity. We are looking for a Data Platform Engineer who will help make our next decade just as revolutionary as our past. If you're one of the super-talented who thrive on change, aren't afraid to take risks, love to make a difference, and want to cultivate a better world, you're the right fit. Come grow with us.
The Data Platform Engineer for the Data, Insights and Analytics team at Chipotle will be assisting in building and maintaining our new enterprise data warehouse on Snowflake. You will be responsible for building data engineering solutions and processes to enable analytics, business intelligence, and Master Data Management. This role will also be responsible for creating and maintaining the new data pipelines to leverage data at scale while helping Chipotle migrate off our legacy data warehouse(s).
Key responsibilities:
- Enable data engineering with building and maintaining scalable data pipelines in DBT and Azure Data Factory
- Take ownership of maintaining select non-prod environments
- Collaborate with platform analysts and engineers to design solutions aligned to team standards
- Develop IaC (Terraform) for Azure, Databricks, and Snowflake
- Apply team standards for security, governance, observability, cost, and performance
- Help maintain our MDM (Master Data Management) platform
- Manage code in Azure DevOps and coordinate changes across teams
- Participate in design/architecture discussions and code reviews
- Add data quality checks and help triage pipeline issues
- Document processes, datasets (catalog), lineage, and PII handling
- Support development of the internal data integration framework
- Work with system owners to resolve source data issues
- Partner with enterprise teams, data science, and architects to define requirements and solutions
Key qualifications:
- Possess strong analytical skills with the ability to analyze raw data, draw conclusions, and develop actionable recommendations
- Ability to troubleshoot data integrations for performance and accuracy
- Strong working knowledge of MSSQL and SSIS is preferred
- Effectively handle multiple projects simultaneously and pay close attention to detail
- Have excellent interpersonal and written/verbal communication skills
- Manage financial information in a confidential and professional manner
- Be highly motivated and flexible
Pay transparency. Pay rate is $30 per hour, depending on skill level, experience, and education. Compensation offered is also subject to local wage and hour laws.
Who we are. Chipotle Mexican Grill, Inc. (NYSE: CMG) is cultivating a better world by serving responsibly sourced, classically cooked, real food with wholesome ingredients without artificial colors, flavors or preservatives. Chipotle has restaurants in the United States, Canada, the United Kingdom, France, and Germany and is the only restaurant company of its size that owns and operates all its restaurants in North America and Europe. With employees passionate about providing a great guest experience, Chipotle is a longtime leader and innovator in the food industry. Chipotle is committed to making its food more accessible to everyone while continuing to be a brand with a demonstrated purpose as it leads the way in digital, technology, and sustainable business practices.
Chipotle Mexican Grill is an equal opportunity employer that values diversity at all levels. As a people-first company rooted in values, our purpose extends beyond serving nutritious food using real ingredients. It means hiring world-class individuals and fostering a culture that champions diversity, ensures equity, and celebrates inclusion. All qualified applicants, regardless of personal characteristics, are encouraged to apply.
How to Apply
$27
/ hour
Chipotle Mexican Grill pays $27 for Network Architect in Newport Beach, California, with most salaries ranging from $18 to $42. Pay can vary based on role, experience, and local cost of living.
Median
$27
Low
$18
High
$42
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Figures represent approximate ranges and may vary based on experience, location, and other factors. For the most accurate information, please consult the employer directly. Contact us to suggest updates to this information.





