Engineer III, Global Technology - Data Solutions
ExpeditorsCompany Description “We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors Founder Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics. 18,000 trained professionals 350+ locations worldwide across 60+ countries Fortune 500 Globally unified systems Job Description Why This Role Matters As an Engineer III (Data Engineer) within the Data Solutions team, you will help design, build, and support enterprise-scale data and analytics solutions that enable business teams to make trusted, data-driven decisions. You will play a key role in delivering modern analytics capabilities, driving engineering excellence, and ensuring data products are scalable, reliable, and aligned with business objectives. Team and Technology You will work closely with engineers, product managers, architects, platform teams, and business stakeholders to develop enterprise data platforms, analytical applications, semantic models, and reporting solutions. This role leverages technologies including Microsoft Fabric, Databricks, Power BI, SQL, Spark, PySpark, Git-integrated CI/CD pipelines, and modern data engineering practices. What Success Looks Like Deliver high-quality, scalable data and analytics solutions that provide trusted business insights and measurable value. Contribute to technical design, architecture, and engineering best practices that improve reliability, maintainability, and operational excellence. Partner effectively across engineering and business teams to translate complex requirements into production-ready analytical solutions. Advance analytics engineering capabilities through automation, governance, observability, and continuous improvement practices. Key Areas of Impact Technical Depth and Delivery Design, develop, and support enterprise data models, semantic layers, reporting datasets, and analytical applications. Establish engineering best practices for data quality, testing, automation, observability, CI/CD, and release governance. Architectural Scale Design scalable analytics architectures that support current business needs and future growth. Participate in solution design and architecture discussions to improve reliability, scalability, and maintainability. Team Collaboration Scale Partner with product managers, architects, platform engineers, and business stakeholders to deliver analytical solutions. Support team success through code reviews, technical collaboration, mentoring, and knowledge sharing. Influence and Advocacy Define and standardize KPIs, business metrics, and semantic models that enable trusted enterprise reporting. Promote engineering best practices and advocate for solutions that improve delivery quality and customer outcomes. Scope of Vision Translate complex business requirements into scalable analytical solutions with a focus on long-term supportability. Identify opportunities to modernize analytics capabilities and evolve enterprise reporting platforms. Scale of Business Understanding and Impact Deliver reporting, dashboards, and visualizations that improve operational visibility and decision-making. Ensure analytics solutions align with enterprise data governance, privacy, security, and compliance requirements. This position is on-site and will reside in one of the areas listed below, depending on availability. Candidates must be local or willing to relocate. Relocation assistance is not offered for this position. Atlanta, GA Dallas, TX Detroit, MI Laredo, TX Newark, NJ Qualifications Qualifications for Success Required Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent combination of education and experience. 5+ years of experience designing and implementing end-to-end enterprise data and analytics soluti…