Senior Database Engineer with Security Clearance

Senior Database EngineerLocation: Washington, DC – DIA HQClearance Requirements: TS/SCI with CI Polygraph. Investigation or CV date within 5 years We are seeking a highly skilled Database Engineer to lead the design, implementation, and administration of systems across diverse enterprise environments. This role will architect data models, optimize complex queries, build and maintain ETL pipelines, and ensure secure, resilient database operations. The engineer will support both relational and graph data use cases, manage deployments across on-prem, containerized, and cloud platforms, and develop automation solutions to streamline operations. This position requires strong performance tuning expertise, data governance knowledge, and the ability to partner closely with application developers and engineering teams. Duties and Responsibilities:Database Administration and Management: • Design, implement, and maintain PostgreSQL and AnzoGraph database environments, including schema design, data modeling, performance tuning, and query optimization. • Develop and implement data loading strategies for efficient ingestion of data into AnzoGraph. • Develop and implement data backup and recovery strategies for PostgreSQL databases. • Monitor and tune PostgreSQL and AnzoGraph performance, ensuring optimal query execution and resource utilization. • Develop and implement best practices for PostgreSQL and AnzoGraph security, including access control and data encryption. • Design and implement security policies, user access controls, and encryption methods to protect sensitive data • Troubleshoot and resolve PostgreSQL and AnzoGraph database issues, including performance bottlenecks and data inconsistencies • Perform routine database administration tasks, including installation, configuration, patching, upgrades, and migrations for PostgreSQL and AnzoGraph • Work closely with the engineering team and other stakeholders to support their analytical needs and provide guidance on PostgreSQL and AnzoGraph usage. • Participate in scrum meetings, architecture reviews, and code reviews • Design, develop, and maintain Extract, Transport, and Load (ETL) pipelines to extract, transform, and load data from various sources into AnzoGraph and PostgreSQL. Performance Tuning and Optimization: • Conduct performance analysis, tuning, and query optimization for both PostgreSQL and AnzoGraph • Analyze execution plans and database resource usage, and make recommendations for improvements • Configure and tune database parameters to achieve optimal performance, especially for large datasets Data Modeling and Development Support: • Collaborate with application developers and data architects to design and implement new database schemas for both relational and graph data models • Write and optimize complex SQL queries for PostgreSQL and SPARQL/Cypher queries for AnzoGraph • Support data migration, Extract, Transform, Load (ETL), and Extract, Load, Transform (ELT) processes to facilitate data movement between systems • Ensure data quality and integrity throughout the ETL process. • Develop and maintain documentation for data pipelines and database schemas.Infrastructure and Automation: • Manage PostgreSQL and AnzoGraph deployments on premises, in containers (i.e., Docker, Kubernetes), and in the cloud (i.e., AWS, Azure) • Develop and implement automation scripts using languages like Python or Bash, and tools like Terraform or Ansible to manage database infrastructure as code • Maintain database documentation, including design specifications, configurations, and procedures Qualifications: • Education: BS degree in Computer Science, Information Technology, or a related field. • 10+ years of experience as a Database Engineer or similar role. • IAT Level II (Data+, Security+ CE, Network+, CCSP, etc.) • Experience with other graph databases (i.e., Neo4j, Amazon Neptune). • Strong proficiency with schema design, query optimization, security, and performance tuning. • Experience with data governance and data quality practices. • Experience with data warehousing concepts, data modeling techniques and database design principles. • Experience with ETL tools and techniques. • Strong SPARQL/SQL skills and experience with query optimization. • Experience with scripting languages such as Python or Shell. • Excellent problem-solving and analytical skills.