Operational Technology Data Engineer

System One provides outsourced services and workforce solutions across North America. The company is seeking an Operational Technology Data Engineer to modernize industrial data capture, support historian platforms, build secure OT data pipelines, and transform operational data into assets for analytics, reporting, and machine learning.

Responsibilities

• Build the digital backbone of operations by modernizing industrial data capture, security, and transformation into actionable insights
• Support site and enterprise historian platforms, ensuring high-quality, continuous time-series data collection from PLCs, SCADA, sensors, and edge systems
• Troubleshoot data flow issues, improve ingestion patterns such as compression, buffering, and contextualization
• Design and implement secure, scalable OT data pipelines following segmentation standards; develop cloud ingestion workflows using historian replication tools, edge gateways, IoT messaging systems, or custom pipelines
• Ensure reliable, governed movement of OT data to cloud environments, partnering with enterprise architecture and BI teams
• Transform raw OT datasets into curated, production-ready assets for analytics, reporting, and machine learning
• Implement data onboarding frameworks supporting multi-site expansion, applying enterprise naming conventions, metadata standards, and 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
• Collaborate with business leadership, operations, engineering, maintenance, controls, IT, and data teams to translate plant needs into scalable enterprise solutions

Benefits

• Eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

Company

• Specialized technical staffing, recruiting, and outsourced workforce solutions.
• Pittsburgh, Pennsylvania, USA
• http://www.systemoneservices.com/
• Founded in 2008
• 5001-10000 employees

Qualifications

• 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
• 4+ years of experience with OT systems, industrial data, or data engineering.

Required skills

• Cloud Data Platforms AWS, Cloud Data Platforms Azure, Cloud Data Platforms Databricks, Cloud Data Platforms Snowflake, Data Historian Platforms, IEC 62443, ISA 95, Industrial Data Engineering, Industrial Protocols EtherNet/IP, Industrial Protocols Modbus, Industrial Protocols OPC UA, Network Segmentation, OT Cybersecurity, OT Risk Management, Operational Technology (OT) Systems, Python, REST APIs, SCADA/PLC Environments, SQL, Time-Series Data Modeling, iDMZ Architectures

Experience

• 4+ years