We're seeking a Data Engineer with a Top Secret clearance to help drive the design and deployment of scalable data pipelines, APIs, and production-ready machine learning systems. In this role, you'll play a key part in operationalizing data and ML outputs, and contributing to high-level architecture decisions. If you're passionate about building robust data infrastructure and bringing models to life in production environments, this is a great opportunity to lead and grow within a high-impact, mission-focused team. Responsibilities : Design and implement robust data pipelines using tools such as Airflow. Build and optimize Application Programming Interfaces (APIs), microservices, or applications that operationalize data and Machine Learning (ML) outputs. Deploy machine learning models and monitor performance in production. Champion data quality, observability, and governance best practices. Mentor junior team members and contribute to technical reviews and architecture discussions. Required Qualifications: Solid Python programming skills and strong command of SQL/NoSQL. Experience with modern data stack tools (e.g., Airflow, Big Data Databases, etc). Familiarity with DevOps concepts, Continuous Integration/Continuous Development (CI/CD) pipelines, and containerization (Docker, Kubernetes). Top Secret Clearance CompTIA Security + Certification Preferred Qualifications: Hands-on experience with a User Interface (UI) framework (e.g., Angular, Vue, React). Hands-on experience with an API framework (e.g., Flask, FastAPI, GraphQL). Experience deploying and maintaining ML models in production. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, DataDog). TS/SCI eligible with CI Poly preferred