Cloud Data Engineer
Cloud Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
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 USs 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 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
QinetiQ is seeking a Cloud/Data Engineer - Infrastructure & Data Systems
Responsibilities
Infrastructure & Automation
- Design and deploy scalable cloud infrastructure using Terraform and Infrastructure as Code (IaC) principles
- Develop and maintain deployment pipelines for AWS Lambda functions
- Manage AWS services including S3 storage solutions Lambda functions and IAM security configurations
- Implement and maintain version control workflows using Git/GitHub
Data Engineering & Development
- Build and optimize ETL (Extract Transform Load) pipelines using Python
- Develop data processing solutions utilizing pandas for data manipulation and analysis
- Create automated reporting systems using openpyxl and reportlab libraries
- Design and implement API integrations and data collection services
- Ensure data pipeline reliability monitoring and error handling
Business Analysis & Requirements Management
- Gather and document technical and business requirements from stakeholders
- Translate business needs into technical specifications and implementation plans
- Collaborate with cross-functional teams to define project scope and deliverables
- Conduct stakeholder interviews and facilitate requirements validation sessions
Process Documentation & Compliance
- Create maintain and update documentation including processes procedures and work instructions based on ISO 9001 standards while supporting the organizations quality management objectives
- Ensure all technical solutions meet regulatory and compliance requirements
- Support quality management system audits and continuous improvement initiatives
- Document system architectures deployment procedures and operational runbooks
Project Management & Collaboration
- Participate in Agile/Scrum development processes and ceremonies
- Work effectively in government contracting environments with security and compliance requirements
- Collaborate with project managers developers and business stakeholders
Required Qualifications
Technical Proficiencies
- Infrastructure as Code: Advanced experience with Terraform specifically for AWS Lambda deployment automation
- Programming: Strong Python development skills with expertise in:
- ETL pipeline development and data processing
- API development and integration
- openpyxl for Excel file manipulation
- reportlab for PDF generation
- pandas for data analysis and transformation
- Cloud Platforms: Hands-on experience with AWS services:
- S3 for object storage and data lakes
- Lambda for serverless computing and event-driven architectures
- IAM for security policies and role-based access control
- Version Control: Proficiency with Git/GitHub workflows and collaborative development practices
Business & Process Skills
- Requirements gathering and business analysis experience
- Agile/Scrum methodology experience with cross-functional teams
- ISO9001 quality management system experience including documentation creation and maintenance
- Government contracting experience with understanding of compliance requirements and security protocols
Preferred Qualifications
Preferred Qualifications
- Bachelors degree in Computer Science Engineering or related technical field
- AWS certifications (Solutions Architect Developer or SysOps Administrator)
- Experience with additional AWS services (CloudFormation CloudWatch RDS etc.)
- Government clearance or ability to obtain clearance
- Experience with CI/CD pipelines and automated testing
- Knowledge of data governance and security best practices
Work Environment
- Collaborative team environment with government contracting requirements
- Agile development methodology with regular sprint cycles
- Quality-focused culture with emphasis on documentation and process improvement
- Remote work
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.
Employment Type
Unclear
