AI Data Systems Engineer

ADP, Inc.

Quantico Base (VA)

In loco

USD 123.000 - 135.000

Tempo pieno

3 giorni fa
Candidati tra i primi
Generatore di candidature

Trasforma questa posizione in un colloquio — un curriculum e una lettera di presentazione creati in base a ciò questo datore di lavoro sta cercando.

Supera i filtri ATS

Descrizione del lavoro

JCTM, based at Marine Corps Base Quantico, VA, invites an AI Data Systems Engineer to own the data foundation for AI initiatives and support the Warfighting Lab. You will design data architectures and ensure pipelines function across cloud, on‑prem, and tactical edge environments.

The role requires hands-on data engineering depth, governance, and collaboration with security, legal, and contracting teams. Travel up to 10% is possible.

Competenze

  • Bachelor's degree in Computer Science, Data Engineering, Computer Engineering or related field.
  • 5+ years experience in data engineering including hands-on ETL 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 evaluating third-party data architectures and distinguishing sound design from marketing.
  • Knowledge of data governance, security, and data rights principles including DFARS considerations.
  • Experience advising technical and non-technical stakeholders on data practice changes.
  • Excellent written and verbal communication skills for executive level audiences.

Mansioni

  • Design, assess, and advise on ETL pipelines and data architectures for AI Branch projects.
  • Evaluate data storage strategies across cloud, on-prem, and edge environments.
  • Define and enforce data quality, typing, taxonomy, labeling, and formatting standards.
  • Assess vendor-proposed data architectures and data rights postures.
  • Advise leadership on data practices to enable AI at scale.
  • Analyze data flows for ingestion, processing, movement, security, and output.
  • Support governance, security, and data rights reviews with cybersecurity, legal, and contracting.
  • Ensure pipelines align with deployment architecture and operational constraints.
  • Prepare technical docs on data architecture, maturity, and evaluations for leadership.
  • Travel up to 10% for data collection and experimentation events.

Conoscenze

Data engineering
ETL pipeline design
Data architecture
Data governance
Stakeholder communication

Formazione

Bachelor's in Computer Science / Data Engineering / Computer Engineering
Master's degree (nice to have)

Descrizione del lavoro

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Marine Corps Base Quantico, Quantico, VA, US

30+ days ago Requisition ID: 1235

Salary Range: $123,000.00 To $135,000.00 Annually

The Challenge:

The data foundation behind AI-enabled warfighting capabilities is critical to aligning our military forces for the future operating environment. What if you could use your data engineering knowledge and technical judgment to help the Marine Corps evaluate, structure, and scale the data systems required for operational AI?

Build Your Career:

At JCTM we value knowledge experience integrity and commitment. Joining our team means becoming part of an organization that empowers individuals prioritizes ethical practices and fosters a culture of collaboration and growth.

As an AI Data Systems Engineer with JCTM you will support the Marine Corps Warfighting Lab by owning the data foundation for AI Branch initiatives. This position requires hands-on data engineering depth and the ability to assess how data is collected, moved, stored, secured, and structured to support AI capabilities across cloud, on-premise, and tactical edge environments.

Key Responsibilities:

  • Data Architecture and Pipeline Design: Design, assess, and advise on ETL pipelines and data architectures supporting AI Branch projects, including Automatic Target Recognition, Autonomous Vehicle Orchestration, and AI-enabled command and control efforts.
  • Storage and Edge Data Strategy: Evaluate data storage strategies across cloud, on-premise, and disconnected, degraded, intermittent, or limited tactical edge environments, including tradeoffs in latency, resilience, and bandwidth.
  • Data Quality and Standards: Define and enforce data quality, typing, taxonomy, labeling, and formatting standards for datasets used in AI training, testing, and inference.
  • Vendor Technical Evaluation: Assess vendor-proposed data architectures, data rights postures, and data handling claims as part of gated technical evaluations; identify gaps between claimed and demonstrated data maturity.
  • Marine Corps Data Advising: Advise AI Branch leadership and requirements owners on data practices the Marine Corps needs to adopt for AI capabilities to be viable at scale.
  • Data Flow Analysis: Analyze how candidate AI systems ingest, process, move, secure, and produce data, identifying risks, bottlenecks, and integration challenges.
  • Governance and Data Rights: Support data governance, security, and data rights reviews in coordination with cybersecurity, legal, and contracting stakeholders.
  • Deployment Integration: Partner with deployment and infrastructure teams to ensure data pipelines are compatible with deployment architecture, system boundaries, and operational constraints.
  • Experimentation Support: Support experiments, wargames, and exercises by ensuring collected data is well-structured, accessible, secure, and usable for downstream evaluation.
  • Technical Documentation: Prepare technical assessments, briefings, and documentation on data architecture, data maturity, and data solution evaluations for leadership and transition partners.
  • Travel Support: Travel as required (estimated up to 10%) to support data collection, integration, and experimentation events.

State-of-the-Art Technology:

Expand your expertise by working with cutting-edge AI data systems, tactical edge architectures, sensor data pipelines, and advanced data governance methodologies optimizing their application in a dynamic environment.

New Skills:

Collaborate with a diverse team of technical and functional experts gaining practical experience with advanced tools technologies and strategic-level implementations.

Room to Grow:

You will have opportunities to grow your career and contribute to the company's strategic goals supported by mentorship and a collaborative work environment.

You Have:

  • 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

Nice to Haves:

  • Active TS/SCI Security Clearance or ability to obtain TS/SCI eligibility
  • 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

Clearance:

Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Equal Opportunity Employer Statement:

JCTM is an Equal Opportunity Employer that empowers our people to fearlessly drive internal and external change while supporting the safety and security of our great nation.

Ottieni la revisione del curriculum gratis e riservata.

o trascina qui il file.

Similar jobs

Offerte di lavoro simili che vale la pena confrontare

AI Data Systems Engineer
AI Data Systems Engineer

JCTM, LLC • Quantico (VA)

In loco
USD 123.000 - 135.000
AI Data Systems Engineer
AI Data Systems Engineer

JCTM • Quantico (VA)

In loco
USD 120.000 - 175.000
TS/SCI eligible
Data Science SME
Data Science SME

JCTM • Quantico (VA)

In loco
USD 140.000 - 190.000
AI Data Systems Engineer: Edge & Cloud Architect
AI Data Systems Engineer: Edge & Cloud Architect

JCTM • Quantico (VA)

In loco
USD 120.000 - 175.000
TS/SCI eligible
C4ISR Analyst
C4ISR Analyst

ADP, Inc. • Quantico Base (VA)

In loco
USD 63.000 - 105.000
C4ISR Analyst
C4ISR Analyst

JCTM, LLC • Quantico (VA)

In loco
USD 95.000 - 105.000
AI Data Systems Engineer: Edge & Cloud AI
AI Data Systems Engineer: Edge & Cloud AI

JCTM, LLC • Quantico (VA)

In loco
USD 123.000 - 135.000
AI Data Systems Engineer: Edge-to-Cloud Data Architect
AI Data Systems Engineer: Edge-to-Cloud Data Architect

ADP, Inc. • Quantico Base (VA)

In loco
USD 123.000 - 135.000
Senior AI Data Analyst US Citizens only, active TS/SCI clearance required
Senior AI Data Analyst US Citizens only, active TS/SCI clearance required

LTC Solutions LLC • Arlington (VA)

In loco
USD 140.000 - 200.000
401K
PTO
Health Insurance
+4
C4ISR Analyst
C4ISR Analyst

JCTM • Quantico (VA)

In loco
USD 120.000 - 170.000