The Senior Data Engineer will architect and enhance data infrastructure, create dependable data pipelines, oversee cloud-based data warehouses, and mentor engineers to enable scalable solutions for analytics and machine learning.

Define and execute TEVV strategy for an AI-native geospatial platform. Design statistically defensible evaluations, build and assess ground-truth datasets, monitor model and data drift, document TEVV evidence, support DoD contract testing and compliance, and embed evaluability with engineering teams. Own evaluation methodology, acceptance criteria, and continuous re-validation across models, pipelines, and agentic workflows.

Build and deploy agentic AI/ML systems and computer vision models for geospatial imagery. Connect LLMs to data services, design orchestration and evaluation infrastructure, perform V&V, fine-tune VLMs, integrate multi-source data, and own projects end-to-end while supporting stakeholders and ensuring observability, traceability, and robust failure-mode testing.