Top Secret Data Engineer

• Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
• Familiarity with C-UAS command and control networks, tactical communications, mission command systems, and network-enabled sensor architectures.
• Experience supporting developmental test and evaluation (DT&E), operational test and evaluation (OT&E), cybersecurity test events, or technology demonstrations.
• Knowledge of cybersecurity frameworks including NIST RMF, Zero Trust Architecture, DoD cybersecurity policies, and defensive cyber operations.
• Experience utilizing Wireshark, Splunk, Microsoft Sentinel, Elastic Stack, Security Information and Event Management (SIEM) platforms, or comparable network and cyber analysis tools.
• Experience supporting CJADC2, data fusion, common operating picture development, cloud-based network architectures, or operational decision-support systems.

DAY to DAY, Insight Global is seeking a TS/SCI Data Engineer to support a large government customer in Alexandria, VA. In this role, you will serve as a Data Engineer supporting Joint Interagency Task Force 401 (JIATF 401), where you will design, build, and maintain data architectures and analytical solutions that transform large volumes of operational, intelligence, and mission data into actionable insights. On a day-to-day basis, you will develop scalable data pipelines that collect, integrate, process, and manage information from a variety of operational, intelligence, and enterprise systems, ensuring data is clean, accurate, accessible, and ready for analysis. Using tools such as Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytics platforms, you will support mission analysis, operational assessments, and strategic decision-making efforts. You will aggregate and analyze structured and unstructured data, develop dashboards and visualizations, and create common operating picture products that help stakeholders understand complex operational environments and make informed decisions. The role also involves leveraging artificial intelligence and machine learning technologies to automate data processing, identify patterns and trends, extract key information, and support predictive analytics. Working closely with engineers, analysts, operators, and mission stakeholders, you will gather requirements and develop data-driven solutions that support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, technology demonstrations, and acquisition efforts. Additionally, you will develop data models, maintain databases and metadata repositories, establish performance metrics and analytical frameworks, and produce technical documentation, reports, and executive-level briefings for senior leadership. Ensuring data integrity, security, and compliance with applicable policies and governance standards will be a key responsibility, while continuously identifying opportunities to improve data architectures, automation workflows, and analytical methodologies. Staying current with emerging AI technologies, advanced analytics capabilities, and mission-relevant data sources will be essential to enhancing organizational effectiveness and supporting informed operational and procurement decisions.

• Top Secret/SCI Clearance
• MA/MS with 10+ years' experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.
• Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise analytics and data integration platforms.
• Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development.
• Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications.
• Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.
• Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies.
• Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources.
• Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making.
• Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, executive briefings, and presentation materials.
• Ability to communicate complex analytical concepts and model outputs to senior military and civilian leadership in a clear and actionable manner.
• Proven ability to collaborate across multidisciplinary technical and operational teams.