Systems Engineer - Big Data - 33604 in Colorado Springs, CO at
Alion Science and Technology Job Description Summary
Alion is looking for a Systems Engineer Lead/ Big Data to
support the GSA OASIS/FEDSIM Hyper-Innovative Operational Prototype
Engineering (HOPE) program. This position is contingent upon Task
Order (TO) award and funding.
The HOPE systems engineering challenges require the ability to
inspire a large team of diverse, highly motivated, and innovative
engineers, to find creative, integrated, state of the art technical
solutions and rapidly develop protypes that solve complex problems.
The Team is geographically separated and reliant upon collaboration
tools to employ the latest agile engineering tenets to realize
short timelines in a multi-domain environment, integrating legacy,
COTS/GOTS, and emerging capabilities. If you have the requisite
qualifications, enjoy working in a high operations tempo (Ops
Tempo) environment with an outside the box and responsive team, and
desire to have immediate and lasting impacts from leveraging
technology, this role is ideal for you!
The HOPE Task Order (TO) will have a $550M ceiling over five
years. The TO supports a government customer who conducts advanced
development and rapid prototyping to enhance Intelligence,
Surveillance, and Reconnaissance (ISR) technology through air,
space, and cyberspace to directly support tactical units,
warfighters, and Combatant Commanders. This TO will provide the
full spectrum of Research, Development, Test, and Evaluation
(RDT&E) systems engineering services in support of rapid
prototype development and integration activities to meet the
emergent requirements of our customer and its stakeholders.
As a member of the HOPE Agile Systems Engineering Team, you will
be a subject matter expert (SME) and Lead for Big Data systems
engineering. You’ll understand the existing and emerging technology
factors, best practices and lessons learned, skillset requirements,
implementation options and the factors thereof, and the schedule,
cost, and performance implications of Big Data/ Data Analytics,
supported by innovative and collaborative processes, tools,
metrics, integrated security and testing, etc.
The Big Data SE is key to assisting the Lead Systems Engineer to
develop the vision, processes, prioritization, plans, projects,
measures of success, testing, and lasting operational suitability,
for Big Data, Data Lakes, Data Analytics, and related elements of
our architectural solutions. The BDA will be counted upon to guide
the Teams’ understanding of related requirements, design trades,
leveraging teammate contributions, technical deliverables, testing
and evaluation, and operations and sustainment impacts of
state-of-the-art software engineering, across the portfolio of
customer capability needs.
Responsibilities of the HOPE Big Data SE include, but are not
Supporting a large portfolio of projects that touch a
cross-section of current Big Data concepts, capabilities, tools,
and measures of success, and data structures, algorithms, data
lakes, and data analytics.
Identifying, evaluating, and applying Big Data concepts and
design decisions, including requirements, analysis of alternatives,
test and evaluation plans, and sustainment planning.
Developing and leading FEDSIM Big Data technical deliveries for
rigor, discipline, completeness, design detail, cost effectiveness,
testing accuracy, and operational utility.
Mentor junior and mid-level Big Data engineers on HOPE
processes, tools, methods, and culture.
Supporting the LSE in prioritizing workloads and determining
appropriate assignments for teammates with Big Data engineering
Required Education and Experience
Bachelor’s degree in Science, Technology, Engineering or
Mathematics (STEM) and over 8 years of relevant experience. Or, a
master’s degree in STEM, with over 6 years of relevant
At least five years of experience leading small teams in
providing support to DoD and/or IC organizations/ agencies, in Big
Data engineering approaches/ solutions.
10+ years of experience on engineering teams in conceiving,
planning, and conducting research and analysis for complex
technological problems of considerable Big Data/ Data Analytics
Big Data Experience: Minimum 5 years of experience with C++/C,
Java, Python, etc.
Experience with Apache Hadoop, HDFS, Map Reduce, Accumulo,
Spark, Zookeeper, etc.
Experience with high data rate streaming ingest with
Experience with Amazon Web Services and/or Microsoft Azure
products and services
Experience with Multi-Level Security and Cross Domain
Strong customer service mentality along with a collaborative
team mindset, and excellent communications, presentation, and
US Citizenship and a current TS with SCI eligibility.
Highly desired but not mandatory
Master’s degree in general Engineering or in a specialized
engineer technology technical discipline (e.g. Electrical, Systems
Engineering, Aeronautical, etc.).
Experience providing rapid prototyping or development, as well
as performing test and evaluation activities.
Experience in the identification, development, and application
of multiple technology sources (Signal Intelligence, Geospatial
Intelligence, etc.) technologies, applications, and knowledge of
multiple engineering technology systems and data flow.
Insight to opportunities to integrate across domains and
technology focus areas, such as artificial intelligence, C4ISR,
Electronic Warfare/ spectrum, User Interface/ HMI, EM/RF design,
communications, radar/SA/GMTI, video/ FMV, PNT, hybrid clouds, and
SE disciplines (e.g., RMQSI, EMI/EMC, etc.).
Participation in software development in agile/ scrum process,
using web services, applications, orchestrations, etc., with
knowledge of multiple common languages, methods, SOA, etc. Examples
include, but are not limited to: Python, J2EE, REST, SOAP, C, C++,
Awareness of modelling and simulation, multiple levels of
security, cyber security and the Risk Management Framework (RMF),
recent DoD 5000.02 Pathways guidance, DoD’s Digital Engineering
initiative, and classified enterprise SILs and integrated tool
suites (for development and testing, ideally applied toward rapid
Familiarity with several IT tools supporting AF, DoD, and IC
projects in collaboration and decision making, such as MS Office,
JIRA, Hyperformix, Confluence, DOORS, Clear Case, Solidworks/ PDM,
JAMA, System Architect, SPARX, Expert Choice, Automated Test Tools,
An active certification in Defense Acquisition Workforce
Improvement Act (DAWIA) Level II Research and Development,
commensurate DAU coursework, or several years of active
participation in INCOSE.
Security Clearance: Top Secret/Sensitive Comp Info
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