Industrial Data Systems Engineer

Job Description

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.

• 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 escape 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…