AI Data Systems Engineer: Edge & Cloud AI

JCTM, LLC; Quantico (VA); On-site; USD 123,000 - 135,000; Full time

Job summary

JCTM, LLC is seeking an AI Data Systems Engineer at Marine Corps Base Quantico to own the data foundation for AI Branch initiatives. Responsibilities include designing ETL pipelines, evaluating storage across cloud and edge environments, and ensuring data quality and governance for AI training and inference.

The role requires hands-on data engineering depth and collaboration with deployment teams. Applicants should have a Bachelor's degree in a technical field and 5+ years of data engineering

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Computer Engineering, or a related technical field.
• 5+ years of experience in data engineering including hands-on ETL pipeline design, data pipeline architecture, and large-scale data systems.
• Strong understanding of data storage systems, database design, and data modeling across structured and unstructured data.
• Experience advising technical and non-technical stakeholders on data practice changes.

Responsibilities

• Data Architecture and Pipeline Design: Design, assess, and advise on ETL pipelines and data architectures supporting AI Branch projects across cloud, on-premise, and edge environments.
• Storage and Edge Data Strategy: Evaluate data storage strategies across cloud, on-premise, and tactical edge environments for latency and resilience.
• Data Quality and Governance: Define and enforce data quality, typing, labeling, and formatting standards for AI datasets.
• Governance and Data Rights: Support data governance, security, and data rights reviews with cybersecurity, legal, and contracting teams.
• Deployment Integration: Ensure data pipelines align with deployment architectures and operational constraints.

Job description

JCTM, LLC is seeking an AI Data Systems Engineer at Marine Corps Base Quantico to own the data foundation for AI Branch initiatives. Responsibilities include designing ETL pipelines, evaluating storage across cloud and edge environments, and ensuring data quality and governance for AI training and inference.

The role requires hands-on data engineering depth and collaboration with deployment teams. Applicants should have a Bachelor's degree in a technical field and 5+ years of data engineering