Software Engineer; On-Site

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.

• Experience with Industrial IoT systems, including edge device integration and industrial connectivity.
• Strong Software Development and Programming skills, including work with modern languages and frameworks relevant to fullstack engineering.
• Hands-on experience with Raspberry Pi or similar single-board computers and embedded Linux environments.
• Knowledge of RESTful APIs, microservices, and cloud platforms (e.g., AWS, Azure, or GCP) for data ingestion and application deployment.
• Understanding of networking, security best practices, and data protocols commonly used in manufacturing and IoT (e.g., MQTT, OPC-UA, Modbus).
• Bachelor’s degree in Computer Science, Electrical Engineering, Software Engineering, or a related field, or equivalent practical experience.
• Ability to work on-site in Nashua, NH, collaborate with cross-functional teams, and engage directly with manufacturing environments.
• Experience in precision manufacturing, industrial automation, or data-driven production environments is a plus.