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2 jobs found

Today

Staff Data Engineer, Foundry & Ontology

LMI Fort Bragg, NC

Fort Bragg, NC

Today

$160k - $180k/yr Full time Backend Developer Agent Enabled Workflows Big Data

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Job Description

Opportunity in Fort Bragg, NC (onsite) with LMI, supporting U.S. Army operational decision-support. This Staff Data Engineer role focuses on building data architectures, ontologies, and integrations in Palantir Foundry, with hands-on involvement in ontology objects and AI-enabled capabilities such as conversational AI and agent-enabled workflows. Join a mission-driven environment where authoritative enterprise data powers real operational outcomes.

Responsibilities

Design and develop scalable data architectures, pipelines, and integrations using Palantir Foundry and related enterprise data platforms.
Lead the development and iterative refinement of ontologies representing operational entities, activities, and relationships across multiple sources.
Create and implement data models connecting information about personnel, units, equipment, installations, resources, and operational activity.
Evaluate existing data models and ontology implementations to identify reuse opportunities and improvements.
Integrate structured and unstructured data from Army and Department of Defense systems of record.
Define approaches for data quality, validation, lineage, traceability, and access controls to support reliable decision-making.
Develop and maintain ontology objects, relationships, and workflows for operational applications and AI-enabled capabilities.
Collaborate with software engineers to enable natural-language querying, conversational AI, and agent-enabled workflows backed by authoritative enterprise data.
Provide technical guidance on data architecture, integration patterns, and engineering best practices.
Work with operational stakeholders to translate mission requirements into technical solutions.
Support integration and interoperability across Palantir Foundry, Army Vantage, Maven, and related enterprise environments.
Contribute hands-on to development, testing, troubleshooting, and deployment of production data capabilities.

Requirements

Bachelor’s degree in computer science, engineering, information systems, data science, or related technical discipline, or equivalent practical experience.
6+ years of experience in data engineering, data architecture, software engineering, or related technical disciplines.
Strong proficiency in Python and SQL.
Experience designing and implementing production data pipelines, transformations, and integrations.
Experience with complex data modeling, including relationships between entities across multiple data sources.
Experience with Palantir Foundry, Army Vantage, Maven Smart System, or comparable enterprise data platforms.
Experience integrating data from multiple enterprise systems, including APIs, databases, and other structured or unstructured sources.
Understanding of data quality, lineage, governance, security, and access controls.
Ability to lead technical design efforts while contributing directly to hands-on engineering and development.
Strong communication and collaboration skills, including experience with multidisciplinary technical teams.
Active Top Secret (TS) security clearance.

Preferred Qualifications

Hands-on experience with Palantir Foundry Ontology, including object types, link types, properties, and Actions.
Experience designing ontology-driven applications or semantic data models.
Experience with PySpark, distributed data processing, or large-scale enterprise data integration.
Familiarity with Army operational data, including mobilization, personnel, force readiness, logistics, installations, or sustainment.
Experience developing data foundations for AI-enabled applications, including natural-language querying, retrieval-augmented generation, and agent orchestration.
Experience integrating data across systems with different security classifications, access requirements, or governance constraints.
Experience supporting Department of Defense operational environments.
Experience mentoring engineers and providing technical guidance on data architecture and engineering practices.

Technologies

Palantir Foundry, Army Vantage, Maven Smart System
Python, SQL, PySpark
Natural-language querying, Conversational AI, Agent-enabled workflows
APIs, databases

Salary: USD 160,000 - 180,000 per year

Location: US-NC-Fort Bragg (onsite)

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3mo ago

Data Scientist

Booz Allen Hamilton Stafford, VA

Stafford, VA

3mo ago Closed

$62k - $141k/yr Full time Analytics Big Data Bigdata

This position is no longer accepting applications (closed Aug 19, 2026).

Job Description

Data Scientist role at Booz Allen Hamilton, onsite in Stafford, VA, focused on turning data into actionable insights through machine learning, artificial intelligence, and natural language processing.

Responsibilities

Apply analytical methods to drive real world impact with data driven solutions.
Collaborate closely with clients to clarify questions and needs, then explore data rich environments to assemble the information puzzle.
Partner with teammates to design algorithms and systems, selecting the right tools and frameworks to turn disparate data points into objective answers for informed decisions.
Provide thorough understanding of the data, its meanings, and potential uses.
Contribute to data science initiatives with a focus on beneficial outcomes.

Requirements

Experience in data exploration, cleaning, analysis, visualization, or mining.
Proficiency with statistical and general purpose programming languages used for data analysis.
Familiarity with both structured and unstructured data sources.
Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
Ability to develop predictive models, perform quantitative analyses, and visualize targeted data.
Capability to deploy NLP, text mining, or machine learning techniques.
Secret clearance.
Bachelor's degree.

Technologies

R
Python
SQL
NoSQL
MapReduce
Hadoop
Hive
EMR
Kafka
Spark
Gurobi
MySQL
Plotly
Seaborn
ggplot2
Palantir Foundry
War Data Platform (WDP)
Advana
Databricks

Benefits

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work life programs
Dependent care

Work Model

Remote: May require occasional in person work at a Booz Allen or customer facility.
Hybrid: Regular presence at a Booz Allen facility, with potential visits to customer facilities, aligned with leadership expectations and role needs.
Onsite: Primary work from a Booz Allen office or customer site, collaborating directly with colleagues and clients as required.

Location

Stafford, VA (onsite)

Salary

USD 62,000 - 141,000 per year

Education

Bachelor's degree

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War Data Platform Jobs

Staff Data Engineer, Foundry & Ontology

Data Scientist

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