Project Engineer, Systems Engineer

Responsibilities

• develop and apply statistical and modern analytical methods to improve operations and maintenance of the Arnold Engineering Development Complex (AEDC) air and space ground test equipment and facilities.
• work as a member of the Digital Enterprise group (DE) to lead implementation of data‑centered projects to improve the AEDC ground test data infrastructure, facility operations, and business systems.
• work closely with multidisciplinary work teams to identify opportunities for leveraging data to drive decisions and help design and implement a data architecture working with the Digital Enterprise team.
• supports the development of technical scope, requirements, estimates, and schedules for capital investment, test, and maintenance projects for the Digital Enterprise Project Management organization.
• coordinates Engineering activities (e.g., technical planning, design, installation, and checkout) with Design Engineers, System Engineers, Test Operations Engineers, Project Managers, other non‑Engineering functions, and supports projects within the Digital Enterprise Project Management’s portfolio.
• responsible for coordination of engineering deliverables on a project or group of projects.
• coordinates with the Digital Enterprise Project Managers, Group Managers and Functional Managers to secure the resources needed to complete design activities.
• communicates information that assists with effective priority determination by Digital Enterprise Branch Management.
• coordinates with the technical team to guide and direct 0‑Works with Project Controls to develop work‑breakdown structures;
  Critical Path Method (CPM) schedules; and resource, cost and budget plans.
• supports Project Control / Digital Enterprise Project Manager in performing critical path analysis and development of timelines for completion of tasks, measuring the deliverable work packages of the project against the project plan.
• communicates schedule conflicts, resource constraints, and time constraints to the project team, section supervisors, and group managers.
• assists with PM responsibilities as needed in the preparation of progress reports, standardized reporting procedures and the monitoring of overall project performance.
• tracks project charging and ensures appropriate charge number assignment.
• organizes and communicates project information (e.g., scope of work, requirements documentation, drawings, and estimates) to project team members.
• serves as a technical liaison between the project team, contractor, and government engineering staff.
• support process improvement efforts and development and documentation of new processes.
• green fielding of new software products.
• analyzing multiple COTS products for viability.
• speaking with Vendors for pricing and creating a cost‑benefit analysis of multiple software/hardware products.
• understanding basic networking concepts.
• understanding basic cyber security concepts.
• DOD specific software development requirements such as NIST 800 SP, STIGging of software, and Application and system development.
• experience with integration of legacy software systems.
• modernization of legacy software systems.
• mentorship and leadership of early career engineers.
• cloud engineering/Cloud architecture and design.
• perform other related duties as required.

• Bachelor of Science degree in engineering, computer science or other engineering discipline from an accredited college or university plus 4 to 10 years of progressive work experience in design engineering or other relevant types of engineering such as test operations or plant operation in large industrial plants, utilities, process plants or engineering/construction firms.
• Prior experience managing engineering projects and/or designing systems.
• Current United States citizenship required.
• Technical knowledge of related engineering systems, engineering calculations, applications of engineering and construction methods and materials, and engineering application of computers.
• Master’s or PhD degree in Computer Science, Statistics, Mathematics, Physics, Engineering or another relevant engineering field from an accredited university program.
• Demonstrated experience in a data…