Senior Data Analytics Engineer

Job Summary

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