Power Systems Engineer

Electrical Design Data Specialist

The Electrical Design Data Specialist supports the development of data-driven solutions for electrical systems at the intersection of electrical engineering and data engineering. In this role, you define requirements for electrical data collection, review complex eCAD designs, and ensure that design intent and electrical logic are accurately captured in structured formats. You work with electrical layouts, power grid diagrams, and simulation data to enable advanced engineering automation, analysis, and AI-driven solutions.

Responsibilities

• Define and document data protocol guidelines by authoring technical requirements and annotation standards that capture electrical engineering intent, connectivity constraints, and design rationale for AI training.
• Serve as the domain expert for how electrical design information should be represented in structured data formats to support engineering automation and analytics.
• Review and audit incoming electrical and electronic (E/E) design data, including electrical schematics, wiring diagrams, harness designs, component libraries, netlists, and electrical network models from tools such as Siemens Capital, ePlan, Zuken, and related platforms.
• Verify that E/E design data accurately reflects real-world engineering intent, including connectivity, component relationships, and system-level behavior.
• Track and document design changes across multiple versions of electrical schematics, wiring harnesses, network topologies, component selections, and design parameters.
• Create datasets that clearly explain the reasons for design modifications, capturing design rationale and lifecycle evolution.
• Use E/E design tool APIs and scripting languages such as Python to generate variations of electrical schematics, wiring harnesses, network topologies, component configurations, and electrical design scenarios.
• Augment training datasets with synthetic and derived data to support machine learning, AI-driven design tools, and advanced engineering analysis.
• Collaborate with engineers and data specialists to align data standards, improve data quality, and support design automation initiatives.
• Contribute electrical engineering expertise to initiatives involving AI, simulation, and data-driven engineering workflows.

Essential Skills

• BS or MS degree in Electrical Engineering, Electrical and Electronic Engineering, Electronics Engineering, Mechatronics Engineering, or a related field.
• At least 5 years of hands-on experience with electrical and electronic (E/E) design, including electrical schematics, wiring harnesses, connectors, electrical networks, layouts, or electrical system architecture.
• Strong understanding of electrical design fundamentals, including functional and physical design, circuit connectivity, power and signal distribution, grounding, shielding, and protection concepts.
• Expertise in wire and cable selection, connector systems, and design-for-manufacturing considerations for electrical systems.
• Hands-on experience with E/E design software such as Siemens Capital, ePlan, Zuken, or comparable electrical design and harness engineering tools.
• Proficiency in Python or a comparable scripting language to automate design tasks, validate engineering data, or generate design variations.
• Ability to interpret and work with electrical layouts, power grid diagrams, and simulation data in support of engineering analysis.

Additional Skills & Qualifications

• Knowledge and expertise in power grids and electrical networks, including network topology, load flow concepts, protection and distribution systems, grounding, power quality, and electrical system constraints.
• Knowledge of electronics design at the PCB level, including schematic capture, component selection, signal integrity, power integrity, PCB layout considerations, and electronic hardware interfaces.
• Familiarity with engineering design ontologies, knowledge representations, or structured reasoning frameworks for electrical and electronic design rationale.
• Familiarity with Cyber-Physical Systems (CPS), functional safety, electrical safety, and safety assurance modeling.
• Knowledge of machine learning and artificial intelligence concepts related to engineering data preparation, annotation strategies, data quality evaluation, design automation, anomaly detection, or engineering recommendation systems.
• Experience with electrical and electronic simulation tools such as Simcenter, MATLAB/Simulink, ETAP, PSCAD, AFS, SPICE-based tools, or comparable platforms.
• Strong analytical and problem-solving skills with the ability to translate complex electrical designs into structured data representations.
• Effective communication skills to collaborate with cross-functional engineering and data teams in a remote environment.

Work Environment

This position is 100% remote, offering flexibility to work from anywhere within the United States while supporting Pacific Time working hours. You will collaborate virtually with engineering and data teams using modern digital tools and platforms, working extensively with E/E design software such as Siemens Capital, ePlan, Zuken, and various simulation and scripting environments. The role is focused on a professional, data-driven engineering setting that emphasizes collaboration, documentation quality, and rigorous design analysis in a fully distributed work environment.

Job Type & Location

This is a Contract position based out of Bellevue, WA.

Pay and Benefits

The pay range for this position is $50.00 - $60.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Application Deadline

This position is anticipated to close on Nov 25, 2026.

Workplace Type

This is a fully remote position.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email View email address on click.appcast.io for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.