Data Engineer - Mc Lean, United States - QinetiQ US

QinetiQ US Mc Lean, United States

2 weeks ago

Description

Company OverviewWe 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 OverviewWe are recruiting for a Data Engineer to support a growing mission providing data related cloud resources.

ResponsibilitiesOur 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.
Required Qualifications

Programming Languages:
Java, Scala or Python, Bash

Processing Tools:
Elasticsearch, YARN, Spark, Nifi and/or Docker

Datastore Types:
Graph, NoSQL and/or Relational

AWS Services:
CloudFormation, EC2, S3 and/or RDS
Active TS/SCI clearance with polygraph required #qinetiqclearedjob

Preferred Qualifications

Design Concepts:
REST APIs

Programming Languages:
Javascript/NodeJS

Processing Tools:
Presto/Trino, MapReduce, Hive

Company EEO StatementAccessibility/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 [email protected] 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.

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