Job Description

Getting data where it needs to go is one challenge. Keeping it moving reliably as systems, formats, and mission needs evolve takes a deeper understanding of how everything connects.

You’ve built that understanding through experience, developing pipelines, working through integration challenges, and making decisions that others depend on. You know that a change in one system can affect the next, and you take the time to understand those dependencies before moving forward.

This is a rare chance to join us as an Expert Data Scientist to support the National Geospatial-Intelligence Agency’s (NGA) Maven program, supporting imagery acquisition, imagery curation, and data transformation within its model development process. Your work will help keep the data behind that process connected, accessible, and moving reliably. You’ll develop, sustain, and monitor operational data pipelines, use APIs to query systems and migrate information, and work across databases and cloud architectures. When a pipeline fails or an interface change, your ability to trace the problem and work toward a lasting solution will matter to the people and processes relying on that data. Your contribution also includes helping others understand the decisions ahead. You’ll explain technical challenges, make dependencies clear, and communicate recommendations so the team can move forward with a shared understanding.

Requirements

• Current active Top Secret / SCI clearance.
• You have one of the following education and relevant experience combinations:
• Associate degree + 16 years
• Bachelor’s degree + 15 years
• Master’s degree + 13 years
• 18 or more years of relevant experience
• You have experience with SQL or NoSQL databases and cloud architectures and understand how information is stored, accessed, and moved to make sound decisions about the system supporting operational data pipelines.
• Experience leveraging APIs to query systems and migrate data to help retrieve and transfer data while accounting for differences between systems.
• Experience with programming languages such as Python, JavaScript, or Java as you will be using your development skills to build integrations, automate processing, and maintain the code that supports data movement.
• Experience developing, sustaining, and monitoring operational data pipelines across multiple formats and interfaces as building a pipeline is part of its lifecycle. You’ll need to recognize issues, maintain its operation, and adapt it as the systems around it change.

Nice to Have

• Experience with NGA enterprise solutions, including NGA CORE and NGA MLOps, along with Authorization to Operate (ATO) processes and Government NPE certificates.
• Experience implementing processes, standards, and tools based on the Scaled Agile Framework for Enterprise (SAFe).
• Experience developing dynamic visualizations.

If you’re ready to bring your experience to work that helps shape what comes next for NGA’s Maven program, send your resume directly to Lanchi Lai, (Lanchi.Lai@xts-inc.com).

At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.

Salary Range: 125K-135K/annually