Design Engineering Data Specialist - Power Systems

Glendale, WI, US • Posted 1 day ago • Updated 1 hour ago
Contract Independent
On-site
USD $58.00 - 62.00 per hour
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Job Details

Skills

  • Insurance
  • Data Engineering
  • Cabling
  • Artificial Intelligence
  • SLD
  • Evaluation
  • Power Tools
  • Data Collection
  • GRID
  • Transformer
  • Training
  • NEC
  • nesC
  • Electrical Engineering
  • Systems Design
  • Distribution
  • Systems Analysis
  • ETAP
  • PSCAD
  • Fluency
  • Collaboration
  • Circuit Analysis
  • Adobe Flash
  • Articulate
  • Python
  • Scripting
  • Data Extraction
  • Network
  • NERC
  • Systems Modeling
  • Design Controls
  • Schematics
  • Hitachi
  • Scheme
  • Modeling
  • Ontologies
  • Reasoning
  • Engineering Design
  • Asset Management
  • Geographic Information System
  • Oracle Management Server
  • DMS
  • CMMS
  • Data Flow
  • Computer Hardware
  • Privacy
  • Marketing

Summary

Location: Glendale, WI Salary: $58.00 USD Hourly - $62.00 USD Hourly Description: Our client is currently seeking a Design Engineering Data Specialist - Power Systems for a 6 month + contract.

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.

About the Role
We are seeking a Power Systems Design Data Specialist to support the development of data-driven solutions for electrical power systems across utility-scale and industrial domains. This role sits at the intersection of power engineering expertise and data engineering practices. You will be responsible for defining how power system design data - from single-line diagrams to protection coordination studies to load flow models - should be collected, structured, and annotated so that AI systems can learn valid power engineering reasoning. You will work across transmission, distribution, substation, and facility-level power design to ensure that design intent, system behavior, and engineering rationale are faithfully captured in structured formats.

Key Responsibilities

Data Protocol & Guideline Development: Author the "style guide" for power systems data collection. Define requirements for how bus configurations, protective device settings, cable schedules, equipment ratings, and system topology should be annotated - ensuring the AI learns valid power engineering reasoning including fault current propagation, voltage regulation, and protection coordination logic.

SLD & Protection Data Evaluation: Review and validate incoming power systems design data from tools such as ETAP, SKM/PowerTools, EasyPower, or CAPE. Assess single-line diagrams, protective device coordination studies, relay settings, and equipment schedules for completeness, internal consistency, and adherence to data collection guidelines.

Grid & System Modeling Review: Evaluate power flow models, short-circuit studies, and stability analyses sourced from tools like PSS/E, PSCAD, PowerWorld, or OpenDSS. Verify that network topology, impedance data, generation dispatch profiles, and contingency definitions are accurately captured and properly contextualized for training purposes.

Lifecycle Tracking: Analyze the evolution of power system designs across project phases - from conceptual SLDs through detailed engineering. Identify and document the rationale behind design changes: breaker upgrades driven by revised fault duty, transformer re-sizing due to load growth, protection scheme changes following arc flash re-studies, or bus reconfigurations triggered by reliability requirements.

Synthetic Data Generation: Script power system analysis tools or develop parametric models to generate diverse, valid power system configurations - varying system voltages, bus arrangements (single bus, double bus, ring bus, breaker-and-a-half), protection schemes, and loading scenarios to expand the training dataset.

Standards & Code Alignment: Ensure that collected data and annotations reflect applicable codes and standards (NEC, NESC, IEEE C37 series, IEEE 242/399/551, ANSI device numbering, IEC 61850, NERC reliability standards) so the model's learned behavior aligns with real-world engineering practice.

Basic Qualifications
  • BS/MS in Electrical Engineering or Power Engineering, with coursework or demonstrated depth in power systems analysis.
  • 5+ years of experience in power systems design, analysis, or consulting - spanning at least two of: utility transmission/distribution, substation design, industrial/facility power, or generation interconnection.
  • Deep proficiency with commercial power systems analysis software (ETAP, SKM, or EasyPower required; PSS/E, PSCAD, PowerWorld, or CAPE strongly valued).
  • Working fluency in protection coordination, short-circuit analysis, load flow, and arc flash studies - sufficient to evaluate whether a design is technically sound and to articulate why an engineer made a particular design choice.
  • Experience with Python or scripting to automate data extraction from power systems tools, parse relay setting files, or manipulate network models programmatically.

Preferred Qualifications
  • Experience with transmission-level planning or operations: familiarity with NERC standards (TPL, FAC, PRC), interconnection study processes, or bulk power system modeling in PSS/E or PowerWorld.
  • Familiarity with substation design practices: bus arrangements, relay panel design, control and protection schematics, IEC 61850 communications architecture.
  • Hands-on experience with protective relay configuration (SEL, GE/Alstom, ABB/Hitachi) at a level sufficient to interpret relay setting files and evaluate protection scheme logic.
  • Understanding of power quality phenomena (harmonics, voltage sag/swell, flicker) and associated modeling or measurement practices.
  • Familiarity with engineering ontologies, knowledge graphs, or structured reasoning frameworks - particularly as applied to infrastructure systems or engineering design rationale.
  • Experience with utility or industrial asset management systems (GIS, OMS/DMS, CMMS) and understanding of how design data flows into operational systems.
  • Professional Engineer (PE) license or EIT/FE certification.
  • the interaction between hardware, software, and physical systems.


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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1157489
  • Posted 1 day ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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