This Data Engineer position supports a program in the Norfolk, Virginia area, delivering secure, reliable, and scalable data solutions for J35 Global Force Management (GFM) systems and technology. The role focuses on enterprise ETL pipelines, analytics-ready data modeling, and alignment with Department of Defense cybersecurity and governance requirements.
Responsibilities
- Provide operational analysis and manage Global Force Management related work supporting Joint Technology Development efforts.
- Analyze government provided authoritative and classified data to support insights into GFM and Planning and Execution (PLEX) outcomes.
- Build statistical models to support process decision-making and develop machine learning models to automate and simplify key GFM and PLEX processes.
- Conduct high-level market and business operations research to identify trends and relationships, using sophisticated methods to work with data across DoD mission-critical and mission-essential IT systems.
- Analyze raw data from J35 government POCs and convert it into actionable content with input from J35 GFM Operational managers using mathematical models and algorithms.
- Evaluate data warehousing solutions and maintain familiarity with ETL tools, supporting sustainment and improvement in legacy environments.
- Design, build, and maintain data pipelines for enterprise data flows.
- Perform data integration, cleaning, and transformation across structured and unstructured sources.
- Develop and implement data models that support analytics, visualization, and reporting.
- Collaborate with analysts, developers, and mission stakeholders to support data accuracy and accessibility.
- Deploy and manage solutions on cloud platforms including AWS, Azure, and DoD Cloud in compliance with federal security standards.
- Create and maintain APIs for secure data access and integration.
- Troubleshoot and optimize the performance of large-scale data processing systems.
- Ensure compliance with government data governance and cybersecurity requirements.
Requirements
- Maintain an active U.S. Secret security clearance.
- Bachelor of Science degree from an accredited college or university in Computer Science, Information Systems Management, Computer Science Application Management, or a related field, plus 3 years of professional experience; or no degree with 4 to 9 years of experience in technical areas covering the operation, design, development, documentation, and operation of distributed computer M&S.
- Security Plus/Network+ and an Operating System Certification.
- Experience applying computer models and simulations supporting operational planning or joint experimentation support of theory, development, and applications.
- Experience tracking unit status in models and translating unit location, actions, and logistical status into tactical display formats and SOPs.
- Experience initiating requests for employment of warfighting resources to support the maneuver plan.
- Knowledge of employment of air defense resources and air defense unit role-playing, including implementation of the air campaign plan and related plans, orders, and directives across Air Force, Navy, Marine, and Army operations.
- Knowledge of intelligence sensors and radars.
- Knowledge and experience in employment of missile defense assets and missile defense role-playing.
- Knowledge of joint service organizations, operations, exercise requirements, and military forces capabilities.
- Extensive knowledge of employment of logistics airlift and sealift assets.
- Extensive knowledge of Coalition/UN/NATO/NGO operations.
- Experience with Service and Joint operations.
- Experience monitoring, maintaining, and managing servers.
- Experience testing and evaluations of modeling and simulation (M&S) and Command and Control (C2) Systems.
Technologies
- ETL
- AWS, Azure, DoD Cloud
- APIs
- Machine learning models
- Statistical models
- Qlik
- Databricks
- Qlik data analytics certifications
- Security Plus, Network+, Operating System Certification
- Microsoft Certified: Azure Data Engineer Associate
- AWS Certified Data Analytics
- Google Cloud Professional Data Engineer
- Databricks Certified Data Engineer
What Sets You Apart
- Microsoft Certified: Azure Data Engineer Associate
- AWS Certified Data Analytics
- Google Cloud Professional Data Engineer
- Databricks Certified Data Engineer
- Qlik data analytics certifications
Physical Requirements
- Sit for extended periods of time and work at a computer workstation.
- Use hands and fingers to operate keyboards, mice, and other input devices.
- Communicate effectively, both verbally and in writing.
- Specific vision abilities required may include close vision, distance vision, depth perception, and the ability to adjust.
- Stand, walk, bend, or reach; access equipment located in data centers, offices, or under desks.
- Lift and/or move equipment weighing up to 25 pounds.