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AI Data Engineer

QUANTUM TECHNOLOGIES LLCFort Belvoir, VA🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

This hybrid AI Data Engineer role at Quantum Technologies LLC offers a fantastic opportunity to shape cutting-edge AI/ML solutions and advance your career in a dynamic tech environment, with a competitive hourly rate of $90. You'll thrive here if you excel at translating complex data needs into scalable pipelines and enjoy collaborating to drive innovation. Apply today to contribute to impactful projects and grow your expertise!

Quick Overview

Salary
€90/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: AI Data Engineer

Location: Fort Belvoir, VA, USA

Duration: 12 Months + Extension

Bill Rate: $90/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Key Responsibilities:

  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.

Qualifications Required Education:

  • Bachelors degree and nine (9) years or more related experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience.

Qualifications:

  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.

Desired Qualifications:

  • Experience with Apache Spark or other distributed computing platforms.
  • Palantir Foundry Certification.
  • Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, AWS SageMaker).
  • Proficiency in real-time data processing and analytics platforms.
  • Knowledge of Army Intelligence Enterprise data workflows and requirements.
  • Strong understanding of MLOps practices and supporting tools.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).


    Equal Opportunity Employer:
    We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Skills

SQL
AWS
ETL
MLOps
Machine Learning
NLP
Apache
Apache Spark
Azure
Data Pipeline
Google Cloud
PyTorch
Python
TensorFlow
TypeScript

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