Data Engineer

As a Data Engineer, you will join the R&D Technology team supporting a Fortune 50 Consumer Health company. You will help support an advanced analytics team building a modern, scalable data platform to unlock insights across product development. As a Data Engineer you will play a foundational role in turning siloed, unstructured R&D data into trusted, business-ready datasets that fuel analytics, dashboards, and future AI/ML use cases MINIMUM QUALIFICATIONS • Bachelor’s Degree in Information Technology, Computer Science, or related field • 1-2 years’ experience working with larger enterprise-level datasets • Python & SQL for data engineering & transformation • Experience working in Databricks • Experience building and maintaining data pipelines • Experience curating datasets from multiple data sources • Technically curious — enjoys experimenting and learning new tools NICE TO HAVE • Exposure to AI / ML pipelines or data prep for models • Experience supporting Power BI or other data visualization tools RESPONSIBILITIES • Partner with Advanced Analytics’ team to help them be more efficient for the future • Help tune and query R&D information from the business’ data requests • Help assist in the Business Intelligence rationalization thinking and analysis • Independently provide analysis, feedback, ideas to achieve desired results • Support data discovery, contextualizing unstructured data, and creating visualizations to showcase insights WHAT'S IN IT FOR YOU? • Working for a well-known, international Fortune 50 company • Exposure to high-level business professionals in a variety of departments and global locations • Access to cutting edge tools and technology • Laid back and relaxed hybrid work environment