We are seeking a Data Engineering SME to design, build, and operate data pipelines that ingest, store, and process high-volume, multi-source data primarily for modern AI/ML processes. You will partner with software, analytics, and product teams to create model-ready datasets (features, embeddings, and prompts), implement scalable storage layers (data lakehouse and vector stores), and enable low-latency retrieval for query, inference, and RAG. Responsibilities include orchestrating streaming and batch pipelines, optimizing compute for GPU/CPU workloads, enforcing data quality and governance, and instrumenting observability. This role is ideal for someone passionate about turning raw data into reliable, performant inputs for AI models and other analytics while right-sizing technologies and resources for scale and speed. This is an onsite position in Crystal City, VA.