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 recruiting for a Data Engineer that will work on a team that primarily supports a program to perform the operations and maintenance of a large-scale data lake using cloud technologies. 

• Process collection data to move, unpack, decrypt, decode, store, tag and disseminate.
• Create application programming interfaces (APIs) to package and disseminate data to mission partners.
• Create access control mechanism to access collection data.
• Implement standard interfaces, formats and application processes.
• Build data models and analytics to support mission needs.
• Implement and document RESTful API structures that communicate across data management components to include user interface, data flow, data ingestion, monitoring and dissemination.

• Active TS/SCI clearance with polygraph required #qinetiqclearedjob
• Demonstrated experience in data engineering.
• Demonstrated experience in Extract, Transform, and Load (ETL) data engineering.
• Demonstrated experience with REST APIs.
• Demonstrated experience with Java.
• Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 2 years of professional experience; or no experience required with a related Masters degree. Considered experienced, but still a learner.

• Demonstrated experience building data products in Apache Avro.
• Demonstrated experience in using Nifi.
• Demonstrated experience with AWS S3.
• Demonstrated experience deploying the complete DevOps Lifecyle including integration of build pipelines, automated deployments, and compliance scanning using test driven development.

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.