Data Engineer

Chipotle Senior Data Engineer 12+ month contract (potential for extension) Key Responsibilities: Design, develop and maintain scalable data pipelines Develop data ingestion and integrations (REST, SOAP, SFTP, MQ, etc.) processes Take ownership of building data pipelines Actively engage in technology discovery and implementation for both on-prem and in Cloud (i.e. Azure or AWS) to build solution for future systems Develop high performance scripts in SQL/Python/etc. to achieve objectives of enterprise data, BI and analytics need. Incorporate standards and best practices into engineering solutions Manage code versions in source control and coordinate changes across team Participate in architecture design and discussions Provide logical and physical data design, and database modeling Be part of the Agile team to collaborate and to help shape requirements Solve complex data issues around data integration, unusable data elements, unstructured data sets, and other data processing incidents Supports the development and design of the internal data integration framework Works with system owners to resolve source data issues and refine transformation rules Partner with enterprise teams, data scientist, architects to define requirements and solution Key Qualifications : Have a B.A./B.S. and 5-8 years of relevant work experience; or an equivalent in education and experience Must have excellent experience with Snowflake Hands on experience with Microsoft Stack - SSIS, SQL, etc. Possess strong analytical skills with the ability to analyze raw data, draw conclusions, and develop actionable recommendations Experience with the Agile development process preferred Proven track-record of excellence and consistently delivered past project successfully Hands on experience with Azure data factory V2, Azure Databricks, SQLDW or Snowflake, Azure analysis services and Cosmos DB Experience with Python or Scala. Understanding of continuous integration and continuous deployment on Azure Experience with large scale data lake or warehouse implementation on any of the public cloud (AWS, Azure, GCP) Have excellent interpersonal and written/verbal communication skills Manage financial information in a confidential and professional manner Be highly motivated and flexible Effectively handle multiple projects simultaneously and pay close attention to detail Have experience in a multi-dimensional data environment Required Skills : Working Onsite 4 days per week in Columbus, Ohio 43215. MUST HAVE: Senior Data Engineering Skills with Snowflake, Azure Data Factory, prefer DB2 Must have excellent experience with Snowflake Hands on experience with Microsoft Stack - SSIS, SQL, etc. Possess strong analytical skills with the ability to analyze raw data, draw conclusions, and develop actionable recommendations Experience with the Agile development process preferred Proven track-record of excellence and consistently delivered past project successfully Hands on experience with Azure data factory V2, Azure Databricks, SQLDW or Snowflake, Azure analysis services and Cosmos DB Experience with Python or Scala. Understanding of continuous integration and continuous deployment on Azure Experience with large scale data lake or warehouse implementation on any of the public cloud (AWS, Azure, GCP) Have excellent interpersonal and written/verbal communication skills Manage financial information in a confidential and professional manner Be highly motivated and flexible Effectively handle multiple projects simultaneously and pay close attention to detail Have experience in a multi-dimensional data environment ? Basic Qualification : Additional Skills : Long Term Contract Background Check : Yes Drug Screen : Yes Notes : Selling points for candidate :Long Term Contract Project Verification Info :"The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. MSA: Restricted Client Letter: Will Provide"" Exclusive to Apex :No Face to face interview required :No Candidate must be local :No Candidate must be authorized to work without sponsorship ::No Interview times set :Yes Type of project : Master Job Title : Branch Code :

Created: 2026-03-04