Database Engineer Skill Level 3

Nyla Technology Solutions

$149K — $177K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Active security clearance at the TS/SCI polygraph level required.
  • Bachelor's degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or related field; or equivalent experience with a high school diploma and 15+ years of relevant experience.
  • 10+ years of specialized experience in data analytics or financial intelligence required.
  • Extensive experience with MongoDB database design and implementation in cloud environments.
  • Advanced skills in performance tuning, indexing strategies, and query optimization for MongoDB.

Responsibilities

  • Design, implement, and maintain enterprise MongoDB databases.
  • Optimize complex queries to enhance database performance.
  • Lead development of data parsing and loading software.
  • Build high-availability storage architectures using cloud methodologies.
  • Implement automated workflows to replace manual security evaluation processes.

Benefits

  • Comprehensive benefits package provided.
  • Opportunities for professional development and growth.
  • Work in a high-impact role that contributes to national security initiatives.
Full Job Description
Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

We have an immediate need for an experienced Database Engineer with deep expertise in MongoDB to help shift legacy, manual security evaluation processes to an automated, continuous monitoring and assessment model. In this high-impact role, you will design, implement, and maintain enterprise MongoDB databases, optimize complex queries, lead the development of data parsing and loading software, and build high-availability storage architectures using modern cloud methodologies.

The annual base salary range for this role is $149,000-$177,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Required Skills

MongoDB Architecture: Extensive hands-on experience designing, developing, implementing, and sustaining MongoDB databases in enterprise cloud environments.

Performance & Query Tuning: Advanced knowledge of MongoDB performance optimization, indexing strategies, query profiling, and resource management.

Replication & Sharding: Proven capability configuring and maintaining high-availability architectures, including MongoDB replica sets, sharded clusters, and failover mechanisms.

Data Ingestion & Parsing: Demonstrated experience developing database parser software, database loading tools, and automated data processing workflows.

Schema Design & Modeling: Strong experience defining document schemas, evaluating embedding vs. referencing relationships, and mapping data access patterns.

Backup & Recovery: Practical experience implementing robust database backup, recovery, and disaster recovery operations.

Automation & Analysis: Ability to analyze legacy manual processes and design automated workflows to replace them.

Education: Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 10+ years of specialized data analytics or financial intelligence experience OR High School Diploma / GED, PLUS 15+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.

Desired Skills

Continuous Security Monitoring: Understanding of continuous monitoring, continuous assessment, and automated security authorization frameworks.

Cloud Architecture: Experience applying Cloud methodologies for distributed data storage and retrieval.

Agile Workflows: Practical experience working within an Agile team structure utilizing tools like Jira and Confluence for task tracking and team collaboration.

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