Cleared - Data Engineer (Multiple Levels)

About the role

Nobilis is seeking a cleared Data Engineer to support their customer in Bethesda, MD. The Data Engineer will serve as a subject matter expert supporting the Sponsor's enterprise data management mission.

Responsibilities

• Design and implement large-scale data systems including data warehouses, data lakes, and data pipelines to support organizational data needs
• Create preprocessed, vectorized datasets ready for AI model training
• Develop and implement data standards, policies, and procedures utilizing emerging technologies such as data lakes, cloud storage, and big data analytics
• Analyze datasets to identify data quality issues and develop solutions to improve data normalization
• Collaborate with stakeholders to develop and implement data governance policies and procedures
• Design, develop, and maintain large-scale data warehouses using cloud-based data warehousing, NoSQL databases, and data virtualization technologies
• Ensure data security and integrity by implementing access controls, backup and recovery procedures, and data encryption
• Manage effective implementation of backup and restore procedures and working practices
• Review backup and restore reports daily; monitor backup/restore information, standards, procedures, measurements, tools, and technology
• Determine reporting requirements and reporting schedules for data management services
• Work closely with Service Level Management to ensure data management services meet ongoing and future requirements
• Estimate overall storage resource and budget requirements for Asset Management as input to IT planning
• Collate and analyze process measurements associated with data management and recommend improvement activities based on service deviation
• Support the development and implementation of enterprise data architecture integrated with IC enterprise architectures
• Organize and facilitate governance boards and working groups related to data sharing, analysis, and interoperability
• Identify opportunities to improve data literacy across the Sponsor workforce

Required Qualifications

• Active TS/SCI with Polygraph
• U.S. Citizenship
• 6+ years of experience in designing and implementing large-scale data systems (data warehouses, data lakes, data pipelines)
• 6+ years of experience developing and implementing data standards, policies, and governance procedures
• 6+ years of experience with cloud-based data warehousing platforms, NoSQL databases, and data virtualization
• 6+ years of experience ensuring data security and integrity through access controls, encryption, and backup/recovery procedures
• 6+ years of experience analyzing datasets to identify quality issues and developing remediation solutions
• 6+ years of experience collaborating with stakeholders across multiple organizations on data governance initiatives

Desired Qualifications

• Experience with IC or DoD data environments and familiarity with ICD 504 (IC Data Management)
• Familiarity with big data analytics tools and frameworks
• Experience with data mesh architecture concepts
• Experience creating preprocessed/vectorized datasets for AI/ML model training
• Experience estimating storage resource and budget requirements for enterprise IT planning
• Knowledge of Service Level Management practices as they relate to data services
• Experience facilitating data governance boards or working groups
• Technical writing skills — ability to communicate complex data concepts in simple, actionable ways