Systems Engineer - Big Data - 33604 in Colorado Springs, CO at Alion Science and Technology

Date Posted: 11/17/2020

Job Snapshot

Job Description


Alion is looking for a Systems Engineer Lead/ Big Data to support the GSA OASIS/FEDSIM Hyper-Innovative Operational Prototype Engineering (HOPE) program. 

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 limited to:

  • 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 expertise/ experience.

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 experience.
  • 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 scope.
  • 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 processing
    • Experience with Amazon Web Services and/or Microsoft Azure products and services
    • Experience with Multi-Level Security and Cross Domain Solutions
  • Strong customer service mentality along with a collaborative team mindset, and excellent communications, presentation, and interpersonal skills.
  • 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++, JAVA/ JAVAScript, ELM, Ruby, Rust, etc.
  • 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 prototyping.
  • 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, etc.
  • 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.




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