Data Engineer

  • Washington, DC
  • Posted 3 days ago | Updated moments ago

Overview

On Site
Full Time

Skills

Research
Sensors
Science
Signal Processing
Fusion
Artificial Intelligence
Machine Learning (ML)
Augmented Reality
Aerospace
Collaboration
Data Management
Programming Languages
Extract
Transform
Load
Data Analysis
Data Modeling
Big Data
Python
Cross-functional Team
Scripting
Security Clearance
Application Development
PostgreSQL
Rust
Java
DevSecOps
GitHub
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Real-time
Agile
Continuous Integration
Accessibility

Job Details

Company Overview

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.

Position Overview

We are looking for a data engineer to join our team at DIA.

Responsibilities

Designs, implements, and operates data management systems for intelligence needs. Designs and optimizes data systems.

Required Qualifications

  • 3+ years of experience utilizing programming languages for Extract, Transform, Load (ETL) processes, data analysis, or data modeling
  • 3+ years of experience developing and maintaining scalable data stores and big data models
  • 3+ years of experience developing in Python
  • Experience creating solutions within a collaborative, cross-functional team environment
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms
  • Active TS/SCI clearance; willingness to take a polygraph exam, #qinetiqclearedjob
  • Bachelor's degree

Preferred Qualifications

  • Experience implementing code in an operational environment or for operational usage
  • Experience in application development utilizing PostgreSQL
  • Experience with Rust or Java
  • Experience with DevSecOps tools, including GitHub
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
  • Experience working on real-time data
  • Experience with Agile engineering practices
  • An active CI polygraph

Company EEO Statement

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 or call 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.