Job description

Responsibilities Noblis is seeking a cleared Data Enginee r to support our customer in Bethesda, MD. SETA. The Data Engineer will serve as a subject matter expert supporting the Sponsor's enterprise data management mission. The Data Engineer delivers subject matter experts across a range of functional areas including data engineering, security, standards, governance, warehousing, management, and data services. The ideal candidate will design and facilitate the implementation of large-scale data systems, develop and enforce data standards, maintain enterprise data warehouse environments, and ensure the reliability and integrity of data services — all within a classified environment leveraging emerging technologies. Job 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 • All experience must be within the last 15 years • Demonstrated experience designing and implementing large-scale data systems (data warehouses, data lakes, data pipelines) • Experience developing and implementing data standards, policies, and governance procedures • Experience with cloud-based data warehousing platforms, NoSQL databases, and data virtualization • Experience ensuring data security and integrity through access controls, encryption, and backup/recovery procedures • Experience analyzing datasets to identify quality issues and developing remediation solutions • Experience collaborating with stakeholders across multiple organizations on data governance initiatives Level II: Bachelor's degree + 6 years of experience OR Master’s Degree + 4 years of experience OR PhD + 2 years of experience OR High School Diploma/GED + 10 years of experience OR Associate's degree + 8 years of experience Compensation: $90,700 - $141,775 Level III : Bachelor's degree + 8 years of experience OR Master’s Degree + 6 years of experience OR PhD + 4 years of experience OR High School Diploma/GED + 12 years of experience OR Associate's degree + 10 years of experience Compensation: $120,700 - $188,725 Desired Qualifications • E xperience with IC or DoD data environments and familiarity with ICD 504 (IC Data Management) • Experience with AWS GovCloud, Azure Government, or similar classified cloud platforms • 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 Overview Overview Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation’s toughest challenges, delivering advanced solutions to our customers’ most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions. We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org Why Work at Noblis At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer. Noblis has earned numerous workplace awards for our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace. Remote/hybrid status is subject to change based on Noblis and/or government requirements. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us . EEO is the Law | E-Verify | Right to Work Total Rewards At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site. Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis’ total compensation package. Posted Salary Range USD $90,700.00 - USD $188,725.00 /Yr.

Requirements

Must-haves

Noblis is seeking a cleared Data Enginee r to support our customer in Bethesda, MD. SETA.
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

Nice-to-haves

E xperience with IC or DoD data environments and familiarity with ICD 504 (IC Data Management)
Experience with AWS GovCloud, Azure Government, or similar classified cloud platforms
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

Application prep

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Keywords to mirror

aiawsazureml

Platform: jibe
Effort: medium

Benefits

Benefits detected in the listing.

Professional Development