Software Developer

Job Locations 7 months ago(4/18/2024 5:02 PM)
Job ID
2024-10525
Posted Date
Engineering
Job Location
US-VA-Chantilly

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 recruiting for a Software Developer who will leverage their development skills and experience to support the successful ingestion, cleansing, transformation, loading, and display of significant amounts of data, with a particular focus on Cloud data.

Responsibilities

  • Designing, implementing, and optimizing large-scale ingest systems in a Big Data Cloud environment.
  • Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond.
  • Designing and implementing data extraction, cleansing, transformation, loading, and replication/distribution.
  • Developing custom solutions/code to ingest and exploit new and existing data sources.
  • Developing data profiling, deduping logic, and matching logic for analysis.
  • Organizing and maintaining data layer documentation, so others are able to understand and use it.
  • Collaborating with teammates, other service providers, vendors, and users to develop new and more efficient methods.
  • Effectively articulating the risks and constraints associated with software solutions, based on environment.

Required Qualifications

  • Active TS/SCI clearance with polygraph required #qinetiqclearedjob
  • Strong software development experience, to include significant Java development, data analysis/parsing, and SQL/database experience.
  • Strong experience with the full data lifecycle, from ingest through display, in a Big Data environment.
  • Strong experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs.
  • Experience developing and performing ETL tasks in Linux and/or Cloud environments.

Preferred Qualifications

  • Demonstrated experience delivering solutions using Cloud technologies, such as AWS, Microsoft Azure, etc.
  • Experience with Hadoop, Hbase, MapReduce.
  • Experience with Elasticsearch.
  • Experience working in a mission environment and/or with many different types of data.

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 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.

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