AI/ML Data Engineer (TS/SCI with Poly Required)

GCI; Chantilly; Sur place; EUR 144 677 - 241 611; Plein temps

Résumé du poste

GCI is seeking an AI/ML Data Engineer to develop modern, scalable solutions for ingesting and transforming data in Chantilly. The ideal candidate will need to design APIs and data pipelines while working within an Agile framework. Experience with NodeJS or Python and a strong foundation in data engineering principles are key requirements.

This role demands collaboration across various teams to ensure optimal performance and scalability of applications. A Bachelor’s degree and at least 5 years of software engineering experience are also needed. The role requires US citizenship and a current TS/SCI clearance.

Qualifications

• At least 5 years of related software engineering experience.
• In-depth knowledge of APIs, microservices, and distributed systems.
• Solid experience in building and maintaining ETL workflows and data pipelines.

Responsabilités

• Design and develop scalable backend services and data ingestion solutions.
• Collaborate across disciplines in an Agile environment.
• Optimize applications for maximum speed and scalability.

Connaissances

NodeJS

Python

Data ingestion

APIs

Microservices

Data pipelines

NoSQL

Cloud computing

MLOps

Formation

Bachelor’s Degree in Computer Science, Electrical or Computer Engineering

Outils

ETL workflows

AWS

NiFi

RabbitMQ

MongoDB

Description du poste

AI/ML Data Engineer (TS/SCI with Poly Required)

Job Category: Data Science and Data Engineering

Requisition Number: AIMLD002179

• Full-Time
• On-site
• Salary Range: $164,382.40 USD to $274,518.40 USD

Locations

Chantilly, VA, USA

Description

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high‑value mission solutions while effectively leveraging the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.

At GCI, we solve the hard problems. As an AI/ML Data Engineer, a typical day will include the following duties:

JOB DESCRIPTION

We’re looking for a Data Engineer who is passionate about building modern, scalable solutions for ingesting and transforming data. This role blends back‑end engineering with data‑pipeline development and is perfect for someone who enjoys designing modular services and bringing structure to complex data environments.

As part of our Agile team, you’ll design and develop software products and services that efficiently ingest, process, and manage data from a variety of sources. You’ll play a key role in building robust, reusable APIs and data pipelines that support critical operational and analytical systems.

KEY RESPONSIBILITIES

• Design and develop scalable backend services and data ingestion solutions.
• Perform data modeling, data mapping, and large‑scale file manipulation.
• Collaborate across disciplines in an Agile environment with minimal supervision.
• Drive innovation and process improvement with a hands‑on development approach.
• Optimize applications for maximum speed and scalability.

QUALIFICATIONS

• Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
• At least five (5) years of related experience software engineering experience.

REQUIRED KNOWLEDGE/SKILLS

• In-depth knowledge of NodeJS or Python
• Strong understanding of APIs, microservices, and distributed systems.
• Strong understanding of Large Language Models (LLMs) and using them to enrich data
• Solid experience in building and maintaining ETL workflows and data pipelines.
• Excellent organizational, coordination, interpersonal and team building skills.
• Familiarization with NoSQL datastores.
• Familiarization with MCP Servers and API management

DESIRED KNOWLEDGE/SKILLS

• NiFi experience
• Experience with Flask Application Development
• Experience with Claude Code, Codex, NemoClaw, Aider, Kiro, Gemini CLI, OpenCode or other AI harness.
• Familiarity with Machine Learning Operations (MLOps)
• Hands‑on experience working with Elastic and RabbitMQ
• NoSQL experience (i.e., MongoDB)
• Cloud based and Distributed architecture creation or experience
• Experience developing on the Amazon Web Services Cloud or other cloud provider.
• Graph Query Languages.

*A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.