Job Description Our client is seeking a highly technical Senior Data Engineer to join their Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping the enterprise data platform, owning ingestion, modeling, and activation of data that powers reporting, decision-making, and automation across the organization. This role partners directly with teams across Supply Chain & Manufacturing, Finance & Accounting, HR, Software, Field Operations, and R&D. The ideal candidate combines strong data engineering expertise with business curiosity, high ownership, and a bias toward action. Role Focus Areas: Material Operations • Data pipelines supporting concrete production workflows • Supply chain analytics • Cost tracking, forecasting, inventory management Hardware Reliability • Machine and equipment performance monitoring • Predictive maintenance analytics • Field service ticket analysis Technical Requirements • Strong Python scripting (required) • SQL proficiency (preferred) • Palantir Foundry experience (highly valued but not required) o Alternative experience: AWS, Snowflake, Power BI • Proven end-to-end data infrastructure ownership • Experience with IoT / hardware analytics (plus) • Experience integrating data from APIs, machine data sources, ERP systems, SaaS tools, and cloud storage platforms Core Responsibilities • Lead ingestion and transformation pipelines across internal tools, SaaS systems, and industrial data sources • Model and maintain governed, high-quality data assets for reporting, diagnostics, forecasting, and automation • Build analytics frameworks and operational dashboards with real-time visibility into cost, progress, equipment status, and material flow • Partner with business and technical stakeholders to translate pain points into scalable data solutions • Develop advanced analytics capabilities including predictive maintenance and proactive purchasing workflows • Implement best practices in reliability, versioning, documentation, and testing • Mentor team members and support a culture of excellence in data engineering We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • 8+ years in data engineering, analytics engineering, or backend software development • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related field • Hands-on expertise with Python and SQL • Experience delivering scalable data products in fast-paced environments • Strong understanding of data modeling, business logic abstraction, and stakeholder engagement • Supporting Manufacturing, Field Operations, or Supply Chain teams with near real-time analytics • Familiarity with platforms such as Procore, Coupa, or NetSuite • Building predictive models or workflow automation • Background in data governance, observability, or maintaining production-grade pipelines