Senior Data Engineer - TS Clearance, Onsite 4x/wk, AWS

The Amatriot Group; Chantilly (VA); On-site; USD 130,000 - 182,000; Full time

Job summary

The Amatriot Group in Chantilly, VA is seeking an experienced Data Engineer (SME) to design, build, and maintain data systems that support advanced analytics and visual intelligence applications. This role develops scalable pipelines, builds enterprise databases, and ensures secure data flows across the organization.

You will integrate new data systems with existing platforms, transform structured and semi-structured data, and collaborate with teams to improve data quality and usability.

Qualifications

• Bachelor's degree required.
• Minimum of 10 years of experience in data engineering or related field.
• Strong experience with relational databases and SQL.
• Hands-on experience building pipelines for structured and unstructured data.
• Experience integrating systems with enterprise data warehouses.

Responsibilities

• Build and maintain data pipelines for visual analytics and high-performance processing.
• Transform structured and semi-structured data into actionable information.
• Design large enterprise relational databases and ensure performance.
• Integrate new data systems with enterprise data warehouses.
• Develop standards for database operations, security, and best practices.
• Collaborate with teams to improve data quality and usability.

Skills

Data engineering

Database development

Analytics & visualization

Zero trust

Communication

Problem solving

Education

Bachelor's degree

Tools

Kubernetes

Terraform

GitLab CI/CD

JFrog Artifactory

AWS

Job description

The Amatriot Group in Chantilly, VA is seeking an experienced Data Engineer (SME) to design, build, and maintain data systems that support advanced analytics and visual intelligence applications. This role develops scalable pipelines, builds enterprise databases, and ensures secure data flows across the organization.

You will integrate new data systems with existing platforms, transform structured and semi-structured data, and collaborate with teams to improve data quality and usability.