Skip to content

Staff Data Engineer, Foundry & Ontology – Clearance Required

$160,000–$180,000Fort Bragg, NC

Builds the data architecture, pipelines, and ontologies that connect Army enterprise information to operational applications and decision-support capabilities.

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

Ask your AI about this job

At a glance

Posted base pay

$160K–$180KBelow the median

Midpoint $170K · median $190K

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations (not covered)
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 6+ yearsData engineering, data architecture, software engineering, or related technical disciplines

Background

  • Software engineering
  • Implementation and data engineering

Do you meet what the posting states?

The posting asks for 6+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Fort Bragg, NC. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

What postings ask for, by background →

Conditions

Location
Fort Bragg, NC
Pay
Pay details

Target Salary Range: $160,000 - $180,000

More like this

What you’ll do

  • Design and develop scalable data architectures, pipelines, integrations, and operational data models.
  • Lead ontology development for entities and relationships spanning Army data sources.
  • Establish data quality, lineage, traceability, and access-control approaches.
  • Enable conversational AI and agent workflows using authoritative enterprise data.

What you’ll bring

  • Six or more years of experience in data engineering, data architecture, software engineering, or a related discipline.
  • Bachelor's degree in a related technical discipline or equivalent practical experience.
  • Strong proficiency in Python and SQL.
  • Experience building production data pipelines and modeling relationships across multiple data sources.

About LMI

LMI delivers consulting, technology platforms, and mission systems to U.S. federal agencies across defense, space, homeland security, healthcare, and intelligence.

Late-stage private · 2000–5000 people

View posting at LMI

Ask your AI about this job

I am a…

Similar jobs

Hiring at LMI and want this page changed or removed? Email info@nextmove.md and we take it down.