Industrial Data Systems Engineer

About the role

We're looking for an Industrial Data Systems Engineer to own, support, and continuously improve the systems that collect, transport, store, protect, and make industrial operating data available across our operations. This hands-on OT and industrial data-platform role spans PLCs, industrial networks, SCADA/gateways, MQTT, historian systems, databases, and scripting.

Who Thrives Here You enjoy meaningful work and take pride in contributing to a team that values collaboration, professionalism, and continuous improvement. You communicate effectively, build strong relationships, and look for ways to enhance processes and service. You understand that success comes from accountability, teamwork, and doing the right thing for customers and colleagues. You’ll Fit Right In If You Are Motivated by purpose, service, and delivering results Organized, dependable, and committed to high-quality work A strong communicator who builds positive working relationships Proactive and solution-oriented Adaptable and open to learning and growth Someone who values respect, teamwork, and professionalism We believe a strong workplace is built on trust, innovation, and a shared commitment to excellence—where every team member plays a role in delivering a premier service experience.

Responsibilities

• Own and support the industrial data historian platform and the systems that collect, transport, buffer, store, calculate, and present operational data, including Canary Historian, Ignition, MQTT/Cirrus Link technologies, EWON remote connectivity, and associated services or comparable platforms.
• Monitor platform health and data ingress, proactively identifying missing data, failed connections, service issues, resource constraints, and abnormal system behavior.
• Configure new equipment, sites, and integrations using PLC/OPC connectivity, Ignition gateways, MQTT sessions, historian datasets, tag structures, metadata, hierarchies, deadbands, and data-quality settings.
• Develop and maintain standardized tag structures, templates, naming conventions, and configuration processes; validate data against PLC programs, instrumentation, equipment operation, and source tags to confirm the correct process information is being collected.
• Troubleshoot the complete industrial data path across PLC communications, OPC, VPN/network connectivity, Ignition, MQTT Transmission/brokers, collectors, store-and-forward services, historian services, calculations, and visualization applications; use logs, diagnostics, database errors, and performance information to identify root causes.
• Develop, maintain, and execute data-recovery and disaster-recovery procedures for locally buffered, MQTT/store-and-forward, historian, and embedded-database data; manage buffering behavior to minimize data loss during outages, maintenance, and upgrades.
• Plan and execute upgrades, patches, module updates, configuration changes, and migrations using appropriate testing, backup, rollback, and verification practices; maintain historian calculations, derived tags, events, quality handling, and views.
• Develop and support Axiom applications, trends, dashboards, reports, and other tools that make historian data useful to engineering, operations, and business users.
• Develop scripts and utilities using Python, SQL, JSON, CSV, SQLite/H2, APIs, and related technologies for configuration, tag creation, validation,