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# Database Engineer IV

- **Company:** VTG LLC
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Abstraction Layers, Agile Methodology, Amazon Web Services, Software Applications, Big Data, Databases, Relational Databases, Linux, Elasticsearch, Graph Database, Apache Hadoop, PostgreSQL, NoSQL, Performance Tuning, SQL Databases, Database Optimization, Indexer, Data Management
- **Published:** September 25, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9190634/database-engineer-iv

## About the Role

* Experience with Postgres, SQL, and database performance tuning
 * Experience installing application software in an operational environment
 * Experience with Agile, AWS, RDBMS technology, Elasticsearch, Linux
 * DoD IAT Level II certification
 * This position is 100% on site
 * Active TS/SCI with ability to obtain a poly

Preferred with NoSQL technology (Hadoop and/or EMR)

 * Familiarity with Graph database technology
 * Data modeling experience

Do you have what it takes?

For Principal Level:
Bachelor's degree with 5+ years of relevant experience OR a Master's degree with 3+ years of relevant experience OR A PhD with no experience; an additional 4 years of experience maybe considered in lieu of a degree requirement.

For Senior Principal Level:
Bachelor's degree with 9+ years of relevant experience OR a Master's degree with 7+ years of relevant experience OR A PhD with 4+ years of relevant experience; an additional 4 years of experience maybe considered in lieu of a degree requirement.

Pay Range: VTG's estimated starting pay range is $180,000-$230,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.

## Description

* Database engineering and management activities associated with high volume, multi-format data management services
 * Maintains large-scale data management solutions including developing efficient storage, indexing, and access approaches
 * Updates data enterprise architecture models (if needed) and data abstraction layer to enable access to new data sources
 * Designs and implements indexing strategies for ingested data.
 * Developing a strategy for continuous performance tuning of databases