<br><br>Cloud Data Engineer<br><br>Job Locations <br> <br>1 week ago(11/26/2024 4:38 PM)<br><br>Job ID <br> <br>2024-11156<br><br>Posted Date <br> <br>Consulting/Strategy<br><br>Job Location<br><br>US-VA-Herndon<br><br>Company Overview<br><br><p>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). </p> <p>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. </p> <p><strong>Why Join QinetiQ US?</strong> </p> <p>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. </p>Position Overview<br><br><p>We are recruiting for a Cloud Data Engineer to support a growing mission providing data related cloud resources. </p>Responsibilities<br><br><p>Our Data Engineer will be 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. Our Data engineer will work directly with end customers to identify and refine requirements, develop data flows, and data models. </p>Required Qualifications<br><br><ul> Programming Languages: Java, Scala or Python, Bash <li>Processing Tools: Elasticsearch, YARN, Spark, Nifi and/or Docker </li><li>Datastore Types: Graph, NoSQL and/or Relational </li><li>AWS Services: CloudFormation, EC2, S3 and/or RDS </li><li>Active TS/SCI clearance with polygraph required #qinetiqclearedjob </li></ul>Preferred Qualifications<ul> <li>Design Concepts: REST APIs </li><li>Programming Languages: Javascript/NodeJS </li><li>Processing Tools: Presto/Trino, MapReduce, Hive </li></ul><br><br>Company EEO Statement<br><br><p><strong>Accessibility/Accommodation:</strong> </p><p>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. </p> <p>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. </p>

Cloud Data Engineer

Job Locations

1 week ago(11/26/2024 4:38 PM)

Job ID

2024-11156

Posted Date

Consulting/Strategy

Job Location

US-VA-Herndon

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 Cloud Data Engineer to support a growing mission providing data related cloud resources.
Responsibilities

Our Data Engineer will be 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. Our Data engineer will 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 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.

Data Engineer

Job Locations

1 month ago(11/5/2024 11:45 AM)

Job ID

2024-10489

Posted Date

Consulting/Strategy

Job Location

US-VA-McLean

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 Data Engineer to support a growing mission providing data related cloud resources.
Responsibilities

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.
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 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.

Cloud Data Engineer

Job Locations

47 minutes ago(11/26/2024 4:34 PM)

Job ID

2024-11155

Posted Date

Consulting/Strategy

Job Location

US-VA-Herndon

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 Cloud Data Engineer to support a growing mission providing data related cloud resources.
Responsibilities

Our Data Engineer will be 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. Our Data engineer will 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 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.

Data Engineer

Job Locations

3 weeks ago(11/5/2024 11:45 AM)

Job ID

2024-10489

Posted Date

Consulting/Strategy

Job Location

US-VA-McLean

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 Data Engineer to support a growing mission providing data related cloud resources.
Responsibilities

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.
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 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.

<div><br/><div><br/><div><br/><div><br/><div><br/><font><br/>Data Engineer</font><br/></div><br/></div><br/><br/><div><br/><span>Job Locations</span><br/><span><br/>3 months ago<span>(8/21/2024 2:07 PM)</span></span><br/></div><br/><table><br/><tr><br/><div><br/><td>Job ID</td><br/><td><span><br/>2024-10895</span><br/></td><br/></div><br/><div><br/><td>Posted Date</td><br/><td><span><br/>Consulting/Strategy</span><br/></td><br/></div><br/><div><br/><td><br/><span>Job Location</span><br/></td><br/><td><span><br/>US-VA-Chantilly</span><br/></td><br/></div><br/></tr><br/></table><br/></div><br/></div><br/><font><br/>Company Overview<br/></font><br/><div><br/><div><br/><div><br/><p><span>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).</span></p><p><span><span>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.</span></span></p><p><span><strong><span>Why Join QinetiQ US?</span></strong></span></p><p><span><span>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.</span></span></p><br/></div><br/></div><br/></div><br/><font><br/>Position Overview<br/></font><br/><div><br/><div><br/><div><br/><p><span>We are seeking a Data Engineer who will support a cutting edge project. This individual <span>will be supporting processes for the technical and operational architecture of complex enterprise system.</span></span></p><br/></div><br/></div><br/></div><br/><font><br/>Responsibilities<br/></font><br/><div><br/><div><br/><div><br/><ul><div><span>Evaluate conditioned data to ensure data is properly mapped and ready for User Acceptance Testing (UAT)</span></div><li><span>Work with technical support teams and business process owners for investigation and resolution of production quality control failures that affect operations service delivery</span></li><li><span>Create or update data models to ensure that data is stored in an organized manner</span></li><li><span>Develop processes and procedures to support the operating quality and efficiency of quality control checks in the production environment</span></li><li><span>Create and implement plans to improve data quality by identifying causes of errors or discrepancies and determining effective solutions</span></li><li><span>Work closely with all teams necessary to implement, measure, and improve quality standards for new and existing production functionality</span></li><li><span>Work with service providers to establish procedures for data collection and analysis</span></li><li><span>Consult with service providers and customers to determine how new data standards could affect operations</span></li><li><span>Document data quality issues and recommending solutions to problems</span></li></ul><br/></div><br/></div><br/></div><br/><font><br/>Required Qualifications<br/></font><br/><div><br/><div><br/><div><br/><ul><li><span><span><span>Ac<span>tive TS/SCI clearance with polygraph required </span></span></span>#qinetiqclearedjob</span></li><li><span>Demonstrated experience providing data support to data engineering, and ETL teams</span></li><li><span><span>Experience programming to manipulate and analyze large datasets, build data pipelines, and automate tasks</span></span></li><li><span>ETL experience, to include formats such as XML, JSON, CSV, and YML.<br/></span></li><li><span>Experience using repository software such as GIT<br/></span></li><li><span>Experience developing and maintaining data processing flows. <br/></span></li><li><span>Experience with Agile Methodologies<br/></span></li><li><span>Ability to work closely with highly technical IT database, development, and infrastructure staff</span></li><li><span>Experience working with IT development teams, and infrastructure support organizations</span></li><li><span>Ability to effectively communicate issues in writing and orally at appropriate levels of detail for executive audiences, business stakeholders and technical teams</span></li><li><span>Experience in supporting processes for the technical and operational architecture of complex enterprise systems</span></li></ul><br/></div><br/></div><br/></div><br/><font><br/>Preferred Qualifications<br/></font><br/><div><br/><div><br/><div><br/><ul><li><span>Experience with Python, PySpark or Apache</span></li><li><span>Experience with Databricks</span></li><li><span>Experience with Amazon Web Services (AWS)</span></li><li><span>Experience with Linux</span></li><li><span>Experience in SQL testing experience</span></li></ul><br/></div><br/></div><br/></div><br/><font><br/>Company EEO Statement<br/></font><br/><div><br/><div><br/><div><br/><p><span><strong><span>Accessibility/Accommodation:</span></strong></span></p><p><span><span>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.</span></span></p><p><span><span>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.</span></span></p><br/></div><br/></div><br/></div><br/></div>
#J-18808-Ljbffr

<h3>Data Engineer</h3><p><strong>Job Locations</strong></p><p>1 week ago (11/5/2024 11:45 AM)</p><p><strong>Job ID:</strong> 2024-10489</p><p><strong>Posted Date:</strong> Consulting/Strategy</p><p><strong>Job Location:</strong> US-VA-McLean</p><h3>Company Overview</h3><p>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).</p><p>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.</p><p><strong>Why Join QinetiQ US?</strong></p><p>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.</p><h3>Position Overview</h3><p>We are recruiting for a Data Engineer to support a growing mission providing data related cloud resources.</p><h3>Responsibilities</h3><p>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.</p><h3>Required Qualifications</h3><ul><li>Programming Languages: Java, Scala or Python, Bash</li><li>Processing Tools: Elasticsearch, YARN, Spark, Nifi and/or Docker</li><li>Datastore Types: Graph, NoSQL and/or Relational</li><li>AWS Services: CloudFormation, EC2, S3 and/or RDS</li><li><strong>Active TS/SCI clearance with polygraph required</strong></li></ul><h3>Preferred Qualifications</h3><ul><li>Design Concepts: REST APIs</li><li>Programming Languages: Javascript/NodeJS</li><li>Processing Tools: Presto/Trino, MapReduce, Hive</li></ul><h3>Company EEO Statement</h3><p><strong>Accessibility/Accommodation:</strong></p><p>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.</p><p>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.</p>
#J-18808-Ljbffr

Data Engineer

Job Locations

3 months ago(8/21/2024 2:07 PM)

Job ID

2024-10895

Posted Date

Consulting/Strategy

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 seeking a Data Engineer who will support a cutting edge project. This individual will be supporting processes for the technical and operational architecture of complex enterprise system.
Responsibilities

Evaluate conditioned data to ensure data is properly mapped and ready for User Acceptance Testing (UAT)  Work with technical support teams and business process owners for investigation and resolution of production quality control failures that affect operations service delivery
Create or update data models to ensure that data is stored in an organized manner
Develop processes and procedures to support the operating quality and efficiency of quality control checks in the production environment
Create and implement plans to improve data quality by identifying causes of errors or discrepancies and determining effective solutions
Work closely with all teams necessary to implement, measure, and improve quality standards for new and existing production functionality
Work with service providers to establish procedures for data collection and analysis
Consult with service providers and customers to determine how new data standards could affect operations
Document data quality issues and recommending solutions to problems
Required Qualifications   Active TS/SCI clearance with polygraph required #qinetiqclearedjob
Demonstrated experience providing data support to data engineering, and ETL teams
Experience programming to manipulate and analyze large datasets, build data pipelines, and automate tasks
ETL experience, to include formats such as XML, JSON, CSV, and YML.

Experience using repository software such as GIT

Experience developing and maintaining data processing flows.

Experience with Agile Methodologies

Ability to work closely with highly technical IT database, development, and infrastructure staff
Experience working with IT development teams, and infrastructure support organizations
Ability to effectively communicate issues in writing and orally at appropriate levels of detail for executive audiences, business stakeholders and technical teams
Experience in supporting processes for the technical and operational architecture of complex enterprise systems
Preferred Qualifications   Experience with Python, PySpark or Apache
Experience with Databricks
Experience with Amazon Web Services (AWS)
Experience with Linux
Experience in SQL testing experience

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.

Data Engineer

Job Locations

3 months ago(8/21/2024 2:08 PM)

Job ID

2024-10898

Posted Date

Consulting/Strategy

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 seeking a Data Engineer who will support a cutting edge project. This individual will be supporting processes for the technical and operational architecture of complex enterprise system.
Responsibilities

Evaluate conditioned data to ensure data is properly mapped and ready for User Acceptance Testing (UAT)  Work with technical support teams and business process owners for investigation and resolution of production quality control failures that affect operations service delivery
Create or update data models to ensure that data is stored in an organized manner
Develop processes and procedures to support the operating quality and efficiency of quality control checks in the production environment
Create and implement plans to improve data quality by identifying causes of errors or discrepancies and determining effective solutions
Work closely with all teams necessary to implement, measure, and improve quality standards for new and existing production functionality
Work with service providers to establish procedures for data collection and analysis
Consult with service providers and customers to determine how new data standards could affect operations
Document data quality issues and recommending solutions to problems
Required Qualifications   Active TS/SCI clearance with polygraph required #qinetiqclearedjob
Demonstrated experience providing data support to data engineering, and ETL teams
Experience programming to manipulate and analyze large datasets, build data pipelines, and automate tasks
ETL experience, to include formats such as XML, JSON, CSV, and YML.

Experience using repository software such as GIT

Experience developing and maintaining data processing flows.

Experience with Agile Methodologies

Ability to work closely with highly technical IT database, development, and infrastructure staff
Experience working with IT development teams, and infrastructure support organizations
Ability to effectively communicate issues in writing and orally at appropriate levels of detail for executive audiences, business stakeholders and technical teams
Experience in supporting processes for the technical and operational architecture of complex enterprise systems
Preferred Qualifications   Experience with Python, PySpark or Apache
Experience with Databricks
Experience with Amazon Web Services (AWS)
Experience with Linux
Experience in SQL testing experience

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.

Cloud Data Engineer

Job Locations

43 minutes ago(11/26/2024 4:38 PM)

Job ID

2024-11156

Posted Date

Consulting/Strategy

Job Location

US-VA-Herndon

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 Cloud Data Engineer to support a growing mission providing data related cloud resources.
Responsibilities

Our Data Engineer will be 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. Our Data engineer will 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 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.

Data Engineer

Job Locations

2 weeks ago(11/5/2024 11:45 AM)

Job ID

2024-10489

Posted Date

Consulting/Strategy

Job Location

US-VA-McLean

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 Data Engineer to support a growing mission providing data related cloud resources.
Responsibilities

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.
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 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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