Senior Data Engineer - Onsite at Fort Belvoir, VA (Top Secret/SCI and CI Poly is Required)

About the role

Booker DiMaio is seeking an experienced Senior Data Engineer to support a mission-critical Federal Intelligence Community program. This position is responsible for designing, developing, and maintaining secure, scalable data architectures, databases, and data pipelines that support advanced analytics within a highly classified environment.

Responsibilities

• Design, develop, and maintain scalable enterprise data pipelines and data architectures.
• Build, optimize, and administer relational and NoSQL databases supporting mission-critical applications.
• Design data models and long-term storage solutions to support analytics, reporting, and operational requirements.
• Develop and maintain ETL/ELT processes to integrate data from multiple sources.
• Ensure data integrity, availability, performance, and security within a highly classified environment.
• Collaborate with software developers and cross-functional technical teams to support application development and data integration.
• Optimize database performance and troubleshoot complex data engineering challenges.
• Provide technical leadership and mentorship to junior data engineers.

Requirements

• Active TS/SCI clearance with CI Polygraph.
• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related technical discipline.
• 8+ years of experience in data engineering, database administration, or a related field.
• Strong experience designing and implementing enterprise data architectures and scalable data pipelines.
• Advanced experience with Python and SQL, along with experience using Java, Scala, or similar programming languages.
• Experience developing and supporting ETL/ELT processes.
• Experience working with both relational and NoSQL database technologies.
• Experience with data modeling, data warehousing, and database optimization.
• Experience working with cloud-based data platforms and services.
• Knowledge of data security best practices within classified or highly secure environments.
• Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

• Experience supporting Intelligence Community or Department of Defense programs.
• Experience with MLOps and machine learning workflows.
• Knowledge of Data Mesh and Data Fabric architectures.
• Experience with real-time data streaming technologies.
• Experience with Hadoop, Spark, and Kafka.
• Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• AWS Certified Data Analytics or other relevant cloud certifications.