Senior Data Engineer

Designing, building, and maintaining the organization’s enterprise data architecture, data pipelines, and integration solutions. Transforming raw data into trusted, accessible, and actionable information that supports business operations, reporting, advanced analytics, artificial intelligence (AI), and strategic decision‑making. Design, develop, and maintain enterprise data pipelines and integration processes. Build scalable data solutions supporting reporting, analytics, and AI initiatives. Design and implement data warehouse, data lake, and lakehouse architectures. Develop and optimize ETL/ELT processes. Implement data quality controls, metadata management, and governance standards. Support cloud‑based and hybrid data platforms. Collaborate with analysts, scientists, and business stakeholders. Mentor junior engineers and establish engineering best practices. Requirements Due to federal contract security requirements, candidates must be able to successfully pass a federal background investigation to secure and maintain DOE Q security clearance. (required) Due to federal contract security requirements, this position requires U.S. Citizenship. (required) Health & Safety training, medical monitoring, and client‑driven drug and background testing. (required) 7+ years of experience in data engineering or related disciplines. Advanced SQL and data modeling skills. Experience with cloud data platforms and modern data engineering tools. Strong understanding of data governance, security, and quality management. #J-18808-Ljbffr