Database Engineer Skill Level 2

Nyla Technology Solutions

$135K — $159K *
Information Technology
5 - 7 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 discipline, or equivalent experience.
  • 5+ years of specialized data analytics or financial intelligence experience, or 10+ years of hands-on intelligence analysis experience without a degree.
  • Proficient in database design and maintenance including schema optimization.
  • Experience with relational and NoSQL databases such as MariaDB, PostgreSQL, and MongoDB.
  • Development experience in database tooling including custom parsers and data loading scripts.
  • Strong skills in Python web frameworks like Django or Flask.

Responsibilities

  • Transition legacy security evaluation processes to automation.
  • Design and develop databases and data workflows throughout project lifecycle.
  • Lead the creation of database parser and loading tools.
  • Support the development of Python-based microservices and RESTful endpoints.
  • Engineer automated database workflows to improve efficiency.
  • Collaborate with team members in Agile development settings.

Benefits

  • Comprehensive benefits package including health and wellness programs.
  • Flexible work arrangements available.
  • Opportunities for professional development and certifications.
  • Support for work-life balance initiatives.
Full Job Description
Job Description

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

We have an immediate need for a skilled Database Engineer to help transition legacy, manual security evaluation processes to an automated, continuous monitoring and assessment model. In this role, you will take ownership of database design, development, and information storage across the entire project lifecycle. You will build new data workflows, lead the development of database parser and loading tools, and support Python-based microservices and RESTful endpoints that feed JSON data directly to modern UI front ends.

The annual base salary range for this role is $135,000-$159,000 (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

  • Database Engineering & Design: Strong, hands-on experience in database design, structure maintenance, schema optimization, and information storage/retrieval.
  • Data Models & Datastores: Demonstrated experience working with relational and NoSQL databases, including MariaDB, PostgreSQL, and MongoDB.
  • Database Tooling Development: Experience developing custom database parser software, automated loading scripts, and data ingestion pipelines.
  • Python Web Frameworks: Experience developing and testing RESTful endpoints and microservices using Python with Django or Flask frameworks.
  • API & Data Formats: Proficiency designing REST APIs that transmit structured data (JSON) to UI front-end applications.
  • Workflow Automation: Proven ability to analyze existing manual processes and engineer automated database workflows to replace them.
  • Education: Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 5+ years of specialized data analytics or financial intelligence experience OR High School Diploma / GED, PLUS 10+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.


Desired Skills

Continuous Monitoring & Security Frameworks: Familiarity with automated security authorization, continuous monitoring, and security evaluation frameworks.

UI Front-End Awareness: Familiarity with how backend REST microservices interface with modern JavaScript UI frameworks.

Agile Collaboration: Experience working within an Agile development lifecycle using tracking and documentation tools (e.g., Jira, Confluence).

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