Industrial Data Systems Engineer

We're looking for an Industrial Data Systems Enginee
r 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.

• A strong systems-thinking and troubleshooting mindset with the curiosity to learn unfamiliar technologies, interpret logs and diagnostics, research problems, and work with vendors on solutions.
• Practical industrial automation knowledge, including how PLC programs, instrumentation, communications, and equipment operation affect data quality and reliability.
• A detail-oriented approach to configuration management, tag structures, naming standards, data quality, documentation, and change control.
• Strong communication and collaboration skills across Controls Engineering, IT, Operations, Field Service, Process Engineering, vendors, and other stakeholders, including sound judgment on when to elevate issues.

• 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, transformation, recovery, diagnostics, and administrative automation.
• Work with IT on servers/VMs, backups, networking, DNS, firewalls, Active Directory, and infrastructure dependencies; support secure operation through appropriate access, certificates/TLS, service accounts, credentials, and remote connectivity.
• Manage vendor support relationships and cases, including collecting diagnostics, testing fixes, and escalating unresolved issues; track software licenses, support agreements, annual renewals, subscriptions, certificates, and vendor contacts.
• Maintain system documentation and operational runbooks, including architecture, configuration standards, inventories, support contacts, troubleshooting/recovery/upgrade procedures, and known issues; provide technical training and knowledge transfer.
• Continuously improve reliability, monitoring, standardization, automation, scalability, cybersecurity, and supportability, and participate in the long-term design and evolution of the industrial data architecture.

• Associate or bachelor's degree in Electrical Engineering, Controls/Automation Engineering, Computer Engineering, Computer Science, Information Technology, or a related field; equivalent relevant industrial experience may be considered.
• Three or more years of…