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Operational Technology Data Engineer

System OneSalisbury, MD🇺🇸United StatesPosted 6 Aug 2026

Why This Role Stands Out

Advance your career by building the digital backbone of operations, transforming industrial data into actionable insights and driving significant impact within a reputable company. This role is ideal for experienced data engineers with a passion for industrial systems who thrive on complex problem-solving and collaboration. With a competitive salary range of $90,000 - $125,000, you'll have a fantastic opportunity to grow your skills in a vital sector.

Quick Overview

Salary
$90k - $125k/yr
Work Type
On Site
Level
Mid Senior

Job Description

Job Title: Operational Technology Data Engineer
Location: Salisbury, MD
Type: Direct Hire
Compensation: $90,000.00 - $125,000.00
Work Model: Onsite – onsite

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.
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.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer 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.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #706-IT York

Skills

SQL
AWS
Machine Learning
Snowflake
Azure
Data Pipeline
Databricks
IoT
Python
REST

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