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Build the digital backbone of our operations as an Operational Technology Data Engineer. In this role, you will modernize how industrial data is captured, secured, and transformed into actionable insights by supporting site and enterprise historian platforms and building scalable pipelines that move data from the plant floor to the cloud. You will partner with enterprise architects and cross functional teams to convert complex OT data into trusted, governed datasets that power analytics and drive smarter decisions across the business. This opportunity is ideal for a forward-thinking engineer who is passionate about bridging OT and IT, strengthening data foundations, and enabling the next generation of operational performance.
Job Responsibility:
Administer, maintain, and optimize OT data historian systems (e.g., AVEVA PI, FactoryTalk Historian, Canary, Ignition)
Ensure high quality, continuous capture of time series data from PLCs, SCADA, sensors, and edge systems
Troubleshoot data flow issues and improve ingestion patterns such as compression, buffering, and contextualization
Design and implement secure, scalable OT data pipelines following OT IT segmentation standards
Develop cloud ingestion workflows using historian replication tools, edge gateways, IoT messaging systems, or custom pipelines
Ensure reliable, governed, one way movement of OT data to cloud environments
Partner with Enterprise Architecture and BI teams to define OT data models, metadata standards, and governance requirements
Transform raw OT datasets into curated, production ready assets for analytics, reporting, and machine learning
Implement repeatable data onboarding frameworks to support multi-site expansion
Apply enterprise naming conventions, metadata standards, and data validation rules
Monitor pipeline health, latency, schema changes, and historian system integrity
Follow cybersecurity standards for OT—ensuring read only access, one-way pathways, and adherence to network segmentation policies
Work closely with business leadership, operations, engineering, maintenance, controls, IT infrastructure, and enterprise data teams
Participate in design reviews, architecture discussions, and continuous improvement initiatives
Translate plant floor needs into scalable enterprise data solutions
Requirements:
Bachelor’s Degree in Engineering, Computer Science, IT, Data Engineering, or related field—or equivalent experience
4+ years of experience with OT systems, industrial data, or data engineering
Hands-on experience with data historian platforms (e.g., AVEVA PI, FT Historian, Canary, Ignition)
Proficiency in data pipeline tools such as SQL, Python, REST APIs, or cloud ingestion frameworks
Familiarity with industrial protocols (EtherNet/IP, Modbus, OPC UA) and SCADA/PLC environments
Understanding of cloud data platforms (Azure, AWS, Snowflake, or Databricks) and time-series data modeling
Knowledge of OT cybersecurity concepts, segmentation, and iDMZ architectures
Knowledge of ISA 95, IEC 62443, or OT risk management frameworks
Nice to have:
Experience building or supporting enterprise OT to cloud data architectures
Exposure to enterprise data lakes, data governance frameworks, and metadata/catalog platforms
Experience with OPC UA, MQTT, and modern IIoT platforms for secure, scalable industrial data integration
Hands-on experience developing Power BI dashboards or working with analytics teams to transform OT data into actionable visualizations
What we offer:
medical/Rx
401(k) with employer match after 1 year
critical illness insurance
accident insurance
dental
vision
life insurance
optional group life insurance
short-term and long-term disability protection
flexible spending accounts
paid time off
annual bonus available (variable depending on performance)