AI Data Systems Engineer
$123,000–$135,000 year
On-siteQuantico, Maryland, United States
Job Summary
Design and advise on ETL pipelines and data architectures supporting AI Branch projects, including Automatic Target Recognition and autonomous vehicle orchestration. Evaluate storage strategies across cloud, on-premise, and degraded tactical edge environments, defining data quality, typing, and labeling standards for AI training and inference. Assess vendor-proposed data architectures and rights postures during gated technical evaluations, while analyzing how candidate systems ingest, process, and secure data to identify integration risks. Advise leadership on data practices for scalable AI capabilities and prepare technical assessments for transition partners. Travel up to 10% for data collection and experimentation events. Requires TS/SCI clearance and 5+ years in data engineering.
Required 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
- Demonstrated ability to assess third-party data architectures and technical claims distinguishing sound design from marketing representation
- Understanding of data considerations specific to edge and disconnected, degraded, intermittent or limited environments
- Strong understanding of data governance, security and data rights principles including DFARS data rights considerations
- Experience advising technical and non-technical stakeholders on data practice changes
- Excellent written and verbal communication skills including the ability to clearly articulate ideas for executive level consumption
- Ability to use prior experience and knowledge to address new situations especially during interactions with clients
- US Citizenship
- Active TS/SCI Security Clearance or ability to obtain TS/SCI eligibility
- Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information; TS/SCI clearance is required
- Travel as required (estimated up to 10%) to support data collection, integration, and experimentation events
Desired Qualifications
- Master's degree in a relevant technical field
- Experience with sensor data including imagery, video or signals in a defense or intelligence context
- Experience evaluating or building data pipelines for machine learning training and inference distinct from data science or analytics work
- Prior military experience particularly within the Marine Corps
- Familiarity with Marine Corps data systems, MAGTF operations and relevant DoD data policy
- Familiarity with MOSA-related data interoperability considerations
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