AI/ML Data Engineer for DoD Readiness & Analytics

Sabre Systems, LLC

Patuxent Highland (MD)

On-site

USD 145,980 - 178,420

Full time

14 days+

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Job summary

Sabre Systems, LLC seeks an AI/ML Engineer & Data Management Specialist (Journeyman) to support LO Life Cycle Management at NAS Patuxent River in Lexington Park, MD. On-site role requiring TS/SAP eligibility and DoD privacy compliance, with travel under 10%.

Responsibilities include data integration across multi-source datasets, applying AI/ML models, and building ETL processes. You will develop prompts, build predictive models, and visualize results for engineers and leadership.

Qualifications

  • Accredited BA or BS degree relevant to data science, analytics, data management, or information technology.
  • At least three (3) years of recent and relevant experience in data science, analytics, or data management.
  • Demonstrated experience delivering results in multi-level security environments.
  • Experience in data analysis, predictive modeling, or applied statistics in a technical or programmatic setting.
  • Hands-on experience utilizing artificial intelligence and machine learning models, including prompt engineering for GenAI or similar tools.
  • Ability to organize, clean, and maintain large, multi-source datasets and ensure high data integrity.
  • Proficiency in data integration and Extract-Transform-Load (ETL) processes, including data migration between systems.
  • Ability to create clear, concise, and actionable data visualizations using tools such as Tableau, Power BI, or similar tools.
  • Familiarity with data security, privacy, and compliance requirements in DoD or government environments.
  • Strong interpersonal and communication skills for working with multi-disciplinary teams, including engineers, logisticians, program managers, and data specialists.
  • Clearance Active TS with SAP eligibility required; SCI eligibility desired; optimal qualifications include existing C-Net access and SCI Access Indoctrination; Must be a U.S. Citizen

Responsibilities

  • Effectively and efficiently operate and communicate across multi-level security environments.
  • Coordinate, gather, clean, and integrate technical and programmatic data from multiple program and project offices.
  • Work closely with data management specialists to structure, maintain, and ensure the integrity of large, complex, multi-source datasets.
  • Apply artificial intelligence and machine learning models (e.g., CAPRA, GenAI) to support gap analyses, business case analyses, and readiness assessments.
  • Develop and refine prompts to optimize the performance and relevance of AI‑generated outputs for project needs.
  • Build, validate, and interpret predictive models to assess LO sustainment performance, forecast readiness trends, and identify capability or resource gaps.
  • Manage, maintain, and optimize relational and/or non-relational databases to ensure data availability, reliability, and performance.
  • Design, implement, and manage Extract-Transform-Load (ETL) processes, validation routines, and data quality checks to maintain high data integrity.
  • Create clear, concise data visualizations, summaries, and technical reports to communicate findings to engineers, logisticians, and leadership.
  • Ensure all data management and analysis activities comply with DoD/NAVAIR security, privacy, and regulatory requirements, including access controls and audit trails.

Skills

GenAI prompts
Data management
Data analysis
AI/ML models
Security compliance

Education

BA/BS degree in data science, analytics, data management, or IT

Tools

Python
R
SQL
Tableau
Power BI

Job description

Sabre Systems, LLC seeks an AI/ML Engineer & Data Management Specialist (Journeyman) to support LO Life Cycle Management at NAS Patuxent River in Lexington Park, MD. On-site role requiring TS/SAP eligibility and DoD privacy compliance, with travel under 10%.

Responsibilities include data integration across multi-source datasets, applying AI/ML models, and building ETL processes. You will develop prompts, build predictive models, and visualize results for engineers and leadership.

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