Data Engineer

Bespoketechnologies

Chantilly (VA)

Presencial

USD 120.000 - 180.000

Jornada completa

Hace 5 días
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Descripción de la vacante

Bespoke Technologies seeks a skilled Data Engineer to design and optimize data solutions across analytics, AI/ML projects, and graph databases. The role emphasizes secure cloud architecture, Cypher/Python/Java development, and clear communication with stakeholders in a high-security environment.

The ideal candidate will work on on-site data infrastructure in Chantilly, VA, with experience in Neo4j, ETL, and dashboarding to support mission-critical systems and classified programs.

Formación

  • BS/BA with at least 5 years of sponsor experience.
  • ETL pipelines, data modeling, and AI/ML data engineering experience.
  • Proficient in Cypher, Python, or Java.
  • Graph databases (Neo4j) and Cypher query expertise.
  • Able to clean, model, and visualize medium-to-large datasets.
  • Dashboard or system visualization development experience.
  • Experience with Docker/Kubernetes and secure cloud environments.
  • Clear communication of complex concepts to diverse audiences.
  • Customer-specific experience supporting mission systems or classified programs.

Responsabilidades

  • Design, build, and optimize ETL pipelines for AI/ML/LLM projects and analytics.
  • Clean, preprocess, analyze, and visualize medium to large datasets.
  • Build and optimize Neo4j graph database solutions and Cypher queries.
  • Develop software components in Cypher, Python, Java, or JavaScript with secure practices.
  • Maintain documentation for datasets, queries, security artifacts, and decisions.

Conocimientos

ETL pipelines
Data modeling
Data visualization
Neo4j/Cypher
Python
Java
Docker
Kubernetes
Cloud security
Communication

Educación

BS/BA in a relevant field

Herramientas

Neo4j
Cypher
Docker
Kubernetes
AWS

Descripción del empleo

BT-513 – Data Engineer

Location: Chantilly, VA (fully on-site, no remote option available)

Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.

Overview

Bespoke Technologies is seeking a highly skilled Systems Engineering with strong Data Engineering experience to design, secure, and optimize mission-critical data solutions. This role blends system engineering, secure cloud architecture, advanced analytics, ETL/AI ML data engineering, virtualization technologies, and modern development practices. The ideal candidate has experience operating in classified AWS environments, developing with Cypher/Python/Java, and working with graph technologies, while communicating complex concepts effectively to diverse stakeholders.

Key Responsibilities
  • Design, build, and optimize ETL pipelines, including data flows supporting AI/ML/LLM projects and large-scale analytics.
  • Clean, preprocess, analyze, and visualize medium to large datasets using modern analytic and statistical methods.
  • Build and optimize Neo4j graph database solutions including schema design, relationship modeling, and efficient Cypher query development.
  • Develop software components in Cypher, Python, Java, or JavaScript following secure development practices.
  • Maintain documentation for datasets, queries, security artifacts, engineering decisions, and developed software components.
Required Qualifications
  • Minimum of 5 years with BS/BA including at least 2 years of Sponsor experience
  • Hands-on experience with ETL pipelines, data modeling, activity modeling, and AI/ML supportive data engineering
  • Proficiency in at least one programming language (Cypher, Python, Java)
  • Experience with graphing database technologies (Neo4j and Cypher query language expertise preferred)
  • Demonstrated experience cleaning, modeling, and visualizing medium to large datasets
  • Experience developing dashboards or system visualizations
  • Experience operating with modern software virtualization tools like Docker, Kubernetes
  • Understanding of cloud infrastructure in High security environments (classified)
  • Ability to clearly communicate complex technical concepts to both technical and nontechnical audiences
  • Customer-specific experience supporting mission systems or classified programs
Desired Qualifications
  • Exposure to AI/ML or LLM system engineering and data workflows
  • Familiarity with Agile development frameworks and cloud native design patterns
  • Experience visualizing data in Tableau
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