Database Engineer Level 2 — TS/SCI w/ Poly

J&T Business Consulting

Linthicum (MD)

On-site

USD 110,000 - 170,000

Full time

10 days ago

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Job summary

J&T Business Consulting is seeking a Database Engineer Level 2 with active TS/SCI clearance and a current polygraph to support database design, development and integration for complex systems in Linthicum Heights, MD. The role focuses on data architecture, optimization and scalable database solutions.

Responsibilities include leading database structures, parser software development, and translating requirements into robust database schemas that meet security and performance criteria.

Qualifications

  • 5+ years experience as a DBE in programs of similar scope and complexity.
  • Bachelor's degree in a technical discipline from an accredited college or university.
  • Five years of DBE experience may be substituted for a bachelor's degree.

Responsibilities

  • Support database design, development, implementation, storage and retrieval and data flow analysis.
  • Assist in developing databases, parser software, and loading software.
  • Translate requirements into usable database schema via queries, scripts and macros.
  • Develop database structures that fit within the system architecture under development.
  • Lead development of databases, parser software, and loading software.
  • Develop requirement recommendations from project inception to conclusion for IT/business areas.

Skills

Database design
SQL
Data analysis
Systems architecture

Education

Bachelor's degree in a technical discipline
Experience substituted for degree (5 years)

Job description

J&T Business Consulting is seeking a Database Engineer Level 2 with active TS/SCI clearance and a current polygraph to support database design, development and integration for complex systems in Linthicum Heights, MD. The role focuses on data architecture, optimization and scalable database solutions.

Responsibilities include leading database structures, parser software development, and translating requirements into robust database schemas that meet security and performance criteria.

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