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Datanomix is seeking a full-time on-site Edge IoT Engineer in Nashua, NH to design, implement, and maintain data-driven edge solutions for manufacturing environments. You will capture machine and sensor data, build robust data pipelines, and deliver actionable insights to operators and managers.
You will work with Raspberry Pi devices, RESTful APIs, and cloud or on-prem deployments, collaborating with cross-functional teams to ensure secure, scalable, and reliable systems.
Datanomix builds Data-Powered Production™ solutions that give precision manufacturers clear, automated visibility into their operations. The company bridges machine data, business data, and team insights to help manufacturers increase revenue, improve profitability, and drive efficiency. Existing tools like ERP, MES, and traditional monitoring systems often lack actionable guidance, leaving teams to struggle with fragmented data and manual dashboards. Datanomix addresses these gaps by offering systems that reveal what is important on the shop floor and how to make meaningful improvements. Team members join a mission-focused environment dedicated to helping manufacturers achieve better outcomes through modern data and technology.
This is a full-time, on-site role based in Nashua, NH. This role is responsible for designing, implementing, and maintaining edge IoT solutions that capture, process, and securely transmit machine and sensor data from manufacturing environments. Day-to-day tasks include developing fullstack applications and services, integrating edge devices (such as Raspberry Pi) with cloud and on-premise systems, and building APIs and user interfaces that transform raw data into actionable insights. The engineer will collaborate with customer-facing teams to understand operational requirements, implement reliable data pipelines, and troubleshoot connectivity and performance issues. Responsibilities also include testing, documentation, and continuous improvement of both edge and application-level architectures to ensure scalability, resilience, and ease of deployment.