Systems Engineer Mid Level

Integrity Technology•Fort Meade, MD

3d•$100 - $180

About The Position

ITC is a Woman Owned Small Business delivering exceptional consultation to the U.S. Government in Systems/Software Engineering, Cybersecurity Solutions, Mission Operations/INTEL Analysis, and Management Services in order to enable our customers to solve the most challenging problems. With continued growth comes opportunity, and we are currently searching for a Top Secret SCI with polygraph-cleared Mid- Level Systems Engineer. Responsibilities: As an Enterprise Data Enablement Support Systems Engineer, you will support activities that optimize the customer’s data availability and utilization to drive mission success. You will promote cross-program coordination and technical collaboration to reduce integration risk. An ideal applicant will be open-minded with the ability to adapt to evolving circumstances and grow in the following areas: A willingness to learn and understand how data moves within the customer organization, and how systems communicate to leverage data’s full potential. A desire to apply technical skills to shape the future of data architecture, internally and externally. An interest in focusing on enabling data interoperability across the customer organization and its partners. Possess an instinctive aptitude to leverage information and knowledge sharing networks and navigate conflict in a way that fosters constructive outcomes. Produce system engineering and technical documentation, develop schedules, and support validation and verification activities. Generate reports that summarize analysis of data representations and data to provide data-driven insights to customers.

Requirements

TS/SCI with FS Polygraph
A Bachelor's degree in a Qualified Engineering Field (See Note 1) or a related discipline (See Note 2) from an accredited college or university plus ten (10) years of systems engineering experience or A High School Diploma or GED plus fourteen (14) years of general system engineering experience. or A Master's degree in a Qualified Engineering Field (See Note 1) or a related discipline (See Note 2) from an accredited college or university plus eight (8) years of systems engineering experience. or A PhD in a Qualified Engineering Field (See Note 1) or a related discipline (See Note 2) from an accredited college or university, plus eight (8) years of engineering experience.
SIGINT experience.
Ability to use Microsoft Office suite.
Ability to work collaboratively in small teams with staff and local SMEs that may include people with non-technical backgrounds.
Ability to produce, singularly, and in small groups, engineering documents related to data – including but not limited to its structure and format.
Willingness and ability to frame complex problems into a range of course of actions for the purpose of providing recommended actions to the USG.
Note 1 – Examples of Qualified engineering fields include: Aeronautics, Biomedical, Chemical, Civil, Computer, Electrical, Environmental, Mechanical, Nuclear, Software, Systems, and Engineering Management.
Note 2 – Examples of related disciplines include: Chemistry, Computer Science, Information Systems, Mathematics, and Physics.

Nice To Haves

Technical understanding of design, architecture principles and techniques, data formats and data flow management to take business requirements from concept to implementation.
Exposure to, and understanding of, cloud technologies.
Ability to model complex mission workflows for the purpose of identifying core systems and data that are commonly used across many mission workflows.
Strong oral and written communication skills.
Ability to work independently as well as within a team setting to complete assigned tasks within expected timeframes.
Command line experience.

Responsibilities

Support activities that optimize the customer’s data availability and utilization to drive mission success.
Promote cross-program coordination and technical collaboration to reduce integration risk.
Produce system engineering and technical documentation, develop schedules, and support validation and verification activities.
Generate reports that summarize analysis of data representations and data to provide data-driven insights to customers.