TS/SCI Data Engineer

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.

$40/hr to $55/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

• • Active 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.

• Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
• Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.
• Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
• Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, predictive maintenance, threat forecasting, or autonomous systems.
• Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.
• Experience supporting operational research, capability development, technology evaluations, acquisition decision-making, or advanced mission analytics within defense organizations.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.