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Infrastructure Field Services Engineer

2 months ago


Des Moines, United States Aureon Consulting Full time

NO 3rd party inquiries, direct applicants only please.


Aureon Consulting has an immediate need for an experienced Field Services Engineer for a great client in Des Moines, Iowa.


ONSITE in Des Moines, Iowa is required, no remote work allowed for this role due to the nature of the work.


This role requires an individual with an IT Infrastructure background to analyze, design and implement new, or modify existing, desktop computing infrastructure to meet the clients internal research center needs. Role requires in-depth technical and/or business knowledge to handle complex issues and ensure desktop computing infrastructure and implementation meets business requirements, follows industry standards, and maintains data security. This role will apply knowledge of desktop computing infrastructure to meet research center and information management needs for a robust and fault tolerant network


Candidates will collaborate daily with data scientists and analysts in a team setting as well as 3rd party data providers to drive best practices and identify innovative strategies for successful data product delivery. The successful candidate will be responsible for ensuring that the platform will be robust and scalable to handle increasing volumes and demands from data and analytics.


3+ years of progressive industry experience with ability to support both Windows and MAC operating systems.

Required Experience:

  • Advance understanding of desktop computing and implementation.
  • Excellent oral and written communication, planning and decision-making skills. Possess analytical and problem-solving skills.
  • Able to work with people at all levels, including outside consultants and vendors.
  • Able to build and maintain relationships and facilitate collaboration and communication.
  • Thorough understanding of desktop imaging and desktop deployment strategies.
  • Interest in learning new technologies and operating systems.
  • Excellent interpersonal skills and a can-do attitude with the ability to thrive in a fast-paced dynamic environment. Experience in research, life sciences, or in data science is a plus.
  • Excellent analytical and problem-solving skills with the ability to work as part of a global team and, at times, independently while appropriately prioritizing tasks.