As the Integrations Engineer, you will be the connective tissue between Vulcan's operational and business systems - ensuring that data moves reliably across the organization and that our systems work together rather than in silos. You will design, build, and manage the integration architecture that links our industrial and business platforms, including implementation of a Unified Namespace (UNS) using MQTT/Sparkplug B as the data transport layer with supporting middleware. Near-term, the focus is on getting data flowing cleanly between systems. Longer-term, this infrastructure becomes the foundation for Vulcan's data and AI capabilities. As Vulcan scales, this role has the potential to grow into a team leadership position for the right candidate. Responsibilities • Design and implement integrations between Vulcan's business systems (NetSuite, Ramp, Gusto, Fiix) and operational systems (Ignition, MES) • Work on a team building and managing a Unified Namespace (UNS) architecture using MQTT/Sparkplug B as the data transport layer • Select, deploy, and maintain middleware solutions (e.g., Node-RED, custom API connectors) that enable reliable data movement across the organization • Ensure data flows are robust, monitored, and recoverable - minimizing manual intervention and data loss • Document integration architecture, data flows, and system dependencies • Work closely with the Business Systems Manager and system vendors to support integrations across ERP (NetSuite), CMMS (Fiix), MES, QMS, and Spend (Ramp) platforms • Participate in vendor discussions to assess and scope integration requirements for new and existing systems • Work with the OT environment as needed to ensure operational data is accessible across the organization • Troubleshoot integration failures and data quality issues across the stack • Contribute to Vulcan's longer-term data strategy, helping build a foundation that supports analytics and AI applications • Identify opportunities to automate manual data workflows and improve data accessibility across teams • Support future data pipeline development as Vulcan's architecture evolves toward a centralized data store • Partner with operations, engineering, and leadership to understand data needs and translate them into integration requirements • Work closely with operations, engineering, finance, and the Business Systems Manager to understand system dependencies and integration priorities • Translate business process requirements into technical integration designs • Support onboarding of new systems by evaluating integration requirements early in the procurement process Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business. Qualifications • 5+ years of experience in systems integration, IT/OT engineering, or a related technical role • Hands-on experience integrating ERP, CMMS, MES, or Spend management platforms; NetSuite experience a strong plus • Familiarity with integration patterns and lightweight middleware tools (e.g., Node-RED, custom REST API connectors) • Experience with or working knowledge of MQTT and industrial data protocols (Sparkplug B, OPC-UA, or similar) • Comfortable working across both IT and OT environments - willing to engage with industrial systems, not just business software • Strong understanding of REST APIs, webhooks, and data modeling • Experience designing, querying, and troubleshooting relational databases (PostgreSQL, SQL Server, or similar); comfortable writing and debugging SQL • Ability to work independently in a fast-moving environment and manage multiple integration workstreams simultaneously Must be a U.S. Person due to required access to U.S. export-controlled information or facilities Desired Skills • Experience with Ignition (Inductive Automation) or similar industrial SCADA/MES platforms • Familiarity with UNS architecture concepts and ISA-95 or similar industrial data models • Experience in a manufacturing, industrial, or operations-heavy environment • Exposure to data pipeline development or early-stage data infrastructure build-outs • Familiarity with time-series databases (e.g., InfluxDB, TimescaleDB) common in industrial and IoT environments • Familiarity with cloud platforms (AWS, Azure, or GCP) • Strong diagnostic skills - able to trace data issues across systems and identify root cause • Comfort with scripting or lightweight development (Python, JavaScript, or similar) to build custom connectors or automation