Graph Data Engineer

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

We are seeking a Graph Data Engineer to help us design, build, and maintain robust, scalable, and high-performance graph data solution. In this role, you will work closely with other data engineers, data scientists, and software developers to develop graph-based models and leverage Java, Spring Boot, REST API development, and cloud infrastructure tools to create efficient data pipelines and services. You will also play a pivotal role in architecting and optimizing our AWS-based infrastructure and contribute to our CI/CD workflows.

• Design, develop, and maintain graph data architectures using Java and Spring Boot.
• Build and maintain scalable, high-performance REST APIs to integrate and expose graph data services.
• Develop, deploy, and manage cloud-native applications using AWS Cloud Development Kit (CDK) and services like ArangoDB or other graph databases.
• Implement automation and configuration management using Ansible to ensure the stability and scalability of the infrastructure.
• Collaborate with cross-functional teams to architect and optimize end-to-end data pipelines, including data ingestion, transformation, and storage.
• Utilize Git for version control and Jenkins for continuous integration and deployment (CI/CD) workflows.
• Ensure that all graph data models and services are highly performant, secure, and aligned with business objectives.
• Troubleshoot, optimize, and resolve performance issues across the stack, including graph databases, APIs, and cloud infrastructure.
• Stay current with the latest developments in graph data technologies and best practices, and continuously suggest improvements to the team.

• TS/SCI clearance with polygraph required #qinetiqclearedjob
• Strong experience in Java and Spring Boot for building backend services and APIs.
• Experience with NoSQL databases like MongoDB or Cassandra.
• Familiarity with graph databases (e.g., Amazon Neptune, ArangoDB, Neo4j or other graph-based solutions).
• Hands-on experience with AWS Cloud Development Kit (CDK) for managing cloud resources.
• Expertise in configuring and automating infrastructure using Ansible.
• Experience with version control using Git and CI/CD pipelines with Jenkins.
• Solid understanding of data architecting concepts, including data modeling, storage solutions, and performance optimization.
• Strong problem-solving skills and a detail-oriented approach to software engineering.
• Familiarity with Agile methodologies and working in collaborative team environments.

#DMVCAMPAIGN

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.

QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.