Data Platform Engineering - Internship

Chipotle•Quincy, MA

About The Position

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, want to cultivate the 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).

Requirements

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

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