Data Engineer

The Data Engineer position supports a program in the Norfolk, Virginia area, providing secure, reliable, and scalable data solutions for J35 Global Force Management (GFM) systems and technology. This role designs and maintains enterprise ETL pipelines, builds data models for analytics and reporting, and helps ensure compliance with Department of Defense cybersecurity and governance standards.

Responsibilities

• Provide operational analysis and management related to Global Force Management efforts supporting Joint Technology Development.
• Analyze government-provided authoritative and classified data to support J35 insight into Global Force Management (GFM) and Planning and Execution (PLEX) process 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 interact with data within DoD mission-critical and mission-essential IT systems.
• Convert raw data from J35 government POCs into actionable and understandable content using mathematical models and algorithms in collaboration with J35 GFM operational managers.
• Evaluate data warehousing solutions and maintain familiarity with ETL tools to support data storage and retrieval, including sustainment and improvement for complex legacy data 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 supporting 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 while complying with federal security standards.
• Create and maintain APIs for secure data access and integration.
• Troubleshoot and optimize performance for large-scale data processing systems.
• Ensure alignment with government data governance and cybersecurity requirements.

Requirements

• Must possess and 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, if no degree, 4 to 9 years of experience in technical areas involving operation, design, development, documentation, and operation of distributed computer M&S.
• Security Plus, Network+, or Operating System Certification.
• Experience applying computer models and simulations used for 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, air defense unit role-playing, and implementation of air campaign 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 force 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 with 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 and statistical models
• Qlik and 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

Preferred Certifications

• 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 and work at a computer workstation.
• Use hands and fingers to operate keyboards, mice, and other input devices.
• Communicate effectively, verbally and in writing.
• Specific vision abilities 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.