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Job Description

Insight Global’s client is seeking an Electrical Engineer to join their team in Midland, TX! The Electrical Engineer will provide technical advisement and hands-on design support for a variety of engineering projects primarily within the oil field industry. This role is primarily focused on electrical system design and modeling of power line systems.

Key Responsibilities:

• Deliver technical advisement on engineering projects.

• Design and model electrical systems, including data conversions and system simulations.

• Collaborate with cross-functional teams to ensure project success and client satisfaction.

• Maintain documentation and ensure compliance with relevant engineering standards.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 1+ years experience in electrical design of systems 480 volts and above

• Bachelors degree in engineering – electrical strongly preferred

• Excellent communication and collaboration skills

• Willing to obtain PE or EIT certification • PE or EIT certification

• Familiarity with modeling tools and data conversion processes