> Markdown version of [/jobs/ext/2211281-cleared-data-engineer-multiple-levels](https://www.wearedevelopers.com/jobs/ext/2211281-cleared-data-engineer-multiple-levels). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Cleared - Data Engineer (Multiple Levels)

- **Company:** Noblis Inc.
- **Location:** Bethesda, MD, United States
- **Experience:** Expert
- **Salary:** $90,700.0 - $141,775.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Backup Devices, Big Data, Cloud Database, Cloud Storage, Data as a Services, Information Engineering, Data Governance, Data Infrastructure, Data Normalization, Data Security, Data Sharing, Data Virtualization, Data Warehousing, Disaster Recovery, IT Management, Machine Learning, NoSQL, Backup and Restore, Enterprise Data Management, Data Lakes, Data Management, Data Pipelines
- **Published:** August 24, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9113245/cleared-data-engineer-multiple-levels

## About the Role

* 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

## Description

Noblis is seeking a cleared Data Engineer 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., * 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


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai)
- [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer)