Senior Data Engineer

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. Ranked Must‑Haves 1. Highly technical data engineering skillset 1. End-to-end ownership of data infrastructures or projects with measurable business impact 1. Personable, collaborative, action‑oriented, and comfortable working fully on-site 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) • 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 Minimum Qualifications • 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 Preferred Experience • 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