Senior Data Analytics Engineer

To strengthen the data foundations of Global Supply Chain and Merchandise Planning, the full-time remote Senior Data Analytics Engineer will design and build scalable data models and pipelines, ensuring data integrity and delivering analytical data products from discovery to implementation. Key responsibilities Integrate logistics visibility data into Snowflake and connect it with planning sources for accurate purchase order loading and cost estimates Build trusted, reusable data products by curating supply chain and merchandising datasets across the data lake and enterprise data warehouse Own data quality and integration integrity by establishing monitoring and controls for critical data feeds and integrations Required qualifications 6+ years of experience in a data or software-adjacent field with systems and data infrastructure at scale Experience designing and implementing data pipelines using Dimensional (Kimball) modeling methodologies Proficiency in integrating data from disparate source systems into reliable data products Strong experience with ELT/ETL tooling and workflow orchestration, such as Apache Airflow Familiarity with Snowflake, relational databases, and SQL in an analytical context