This Data Engineer role supports critical Intelligence Community missions by designing scalable data pipelines and optimizing Spark workloads for cloud-based analytics. The position requires a TS/SCI clearance and involves developing robust Python code, managing Kubernetes orchestration, and ensuring cost-efficient, high-performance data solutions across major cloud providers. The role offers a hybrid work arrangement with locations in Herndon, VA, St. Louis, MO, or Aurora, CO. It is appealing due to the opportunity to work on complex, high-impact projects within a collaborative team of innovators. The company fosters professional growth through annual education funds, provides a generous benefits package including fully vested retirement matching, and maintains a culture that values work-life balance with flexible time off and wellness allowances.