Principal 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 to support a growing mission providing data related cloud resources.

Our Data Engineer is responsible for the full data lifecycle – from exploratory data analysis to the upkeep of production data flows. Data Engineers will work closely with data scientists and support the activities of the organization across multiple environments in order to exploit data of various types and security levels.  Data engineers work directly with end customers to identify and refine requirements, develop data flows, and data models.

• Experience implementing and leading implementation of data analytics and data management programs in customer environments with diverse data holdings
• Expert level skills in database architecture and engineering with data modeling, ingest, transformation, warehousing, and integration capabilities
• Expert in data exploration, visualization and analytics using industry standard tools and methods including Power BI and/or Tableau
• Experience finding actionable insights and effectively communicating them to senior level leaders and/or policymakers to drive innovation
• Experience with database and analytics capabilities and/or data migration from on-premise to cloud environments such as AWS, Azure, or Google Cloud
• Expert level skills writing and using SQL queries and scripts (i.e. SQL Server, mySQL,  Postgres, etc) to extract, ingest, manipulate, and report on data
• Excellent communications skills including the ability to distill complex technical information into terms that can be understood and shared by senior leaders
• Project management capabilities including creating program/project schedules and managing project implementation while tracking milestones, reporting progress, and collaborating with customers to address shifting needs and priorities.
• Technical leadership skills guiding implementation using Agile principles and methodology
• Active TS/SCI clearance with polygraph required #qinetiqclearedjob

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.