Supply Chain Data Engineer

Senior Supply Chain Data / Full Stack Engineer Location: Remote Engagement: Contract (CTH possible for the right candidate) Experience Level: Senior (5+ years) About the Role We are looking for a Senior-level Data / Full Stack Engineer to support inventory management and supply chain initiatives within a large enterprise environment. This role will be highly hands-on and focused on solving real-world inventory and supply chain problems through data analysis, optimization, and scalable technical solutions. While the initial focus is heavily centered on inventory management, this role may expand into broader supply chain and logistics use cases over time. Key Responsibilities • Work day-to-day on inventory and supply chain problem-solving initiatives. • Analyze and optimize supply chain and inventory data to improve efficiency and decision-making. • Design, build, and support data-driven applications and solutions. • Partner with cross-functional teams to understand business challenges and translate them into technical solutions. • Contribute to optimization, modeling, and analytical efforts related to supply chain performance. • Support large-scale enterprise systems and data platforms. Required Skills & Experience • 5+ years of professional experience in a data engineering, data science, or full stack engineering role. • At least 3 years of experience solving supply chain and/or inventory management problems. • Strong hands-on experience with: SQL, Python, Palantir, Databricks • Background working in large enterprise environments. • Strong analytical and problem-solving skills. • Ability to work independently in a remote environment. Nice to Have • Experience with AI or machine learning applications in supply chain or logistics. • Broader logistics or end-to-end supply chain experience. • Exposure to optimization or advanced analytics use cases.