Operational Technology Data Engineer

Principal Essential Duties & Responsibilities

• 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.
• Maintain pipeline health, monitor 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.

Minimum Education and Experience

• 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.

Preferred Education and Experience

• 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.

Environmental Factors and Physical Requirements

• Position is mostly sedentary but may require occasional moving to other offices or buildings.
• May need to move light equipment or supplies from one place to another.
• May need to access files, supplies and equipment.
• Work activity is in an office, open-partitioned, cubicle