Data Engineer

Bespoke Technologies • Chantilly, VA

1d • Onsite

About The Position

Bespoke Technologies is seeking a senior Data Engineer with strong systems engineering experience to design, secure, and optimize mission-critical data solutions. The role combines systems engineering, secure cloud architecture, advanced analytics, ETL and AI/ML data engineering, virtualization technologies, and modern development practices. The ideal candidate has experience in classified AWS environments, development with Cypher, Python, or Java, and graph technologies, and can communicate complex concepts effectively to diverse stakeholders.

The position is fully on-site in Chantilly, Virginia. Applicants must have an active Poly clearance; candidates without one will not be considered.

Requirements

• At least 5 years of experience with a 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, or Java.
• Experience with graph database technologies; Neo4j and Cypher query language expertise are preferred.
• Demonstrated experience cleaning, modeling, and visualizing medium to large datasets.
• Experience developing dashboards or system visualizations.
• Experience operating modern software virtualization tools such as Docker and Kubernetes.
• Understanding of cloud infrastructure in high-security, classified environments.
• Ability to clearly communicate complex technical concepts to technical and nontechnical audiences.
• Customer-specific experience supporting mission systems or classified programs.
• Active Poly clearance.

Nice To Haves

• 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.
• Neo4j and Cypher query language expertise.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior