Data and Analytics Intern II at CoorsTek, Inc. in Golden, CO

Summary: CoorsTek, Inc. is committed to bringing safety, quality, and customer focus to advanced ceramics manufacturing. They are seeking a Master’s-level Data & Analytics Intern to help improve their Databricks environment and contribute to AI/ML project work. Responsibilities: - Define and apply metadata tagging standards for priority Databricks assets (e.g., owner/steward, domain, sensitivity/classification, refresh cadence, lifecycle stage) - Improve data discoverability and consistency through naming conventions and catalog organization - Create concise, usable process documentation (SOPs, checklists, templates, runbooks) for common Databricks workflows - Support governance-related workflows (intake/onboarding steps, access patterns, documentation for “definition of done”) - Contribute to AI/ML project work on Databricks (data prep, feature engineering support, experimentation, evaluation summaries) - Produce handoff-ready deliverables and recommendations for next-step improvements Required Qualifications: - Master's-level Data & Analytics Intern - Working knowledge of Python and SQL - Familiarity with modern data platform concepts (ETL/ELT, data modeling basics, data quality concepts) - Ability to translate ambiguous workflows into clear, actionable documentation - Strong communication and collaboration skills; able to work with technical and non-technical stakeholders Preferred Qualifications: - Exposure to Databricks and/or data governance concepts (catalogs, classification, ownership, access controls) - Familiarity with ML experimentation tooling Required Skills: Python, SQL Important Skills: Databricks, Data governance Nice-to-Have Skills: Collaboration skills