Cloud Data Engineer

QinetiQ US • Remote (Washington, District of Columbia, United States) • $104.12k - $152.47k / year • 2d ago

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:

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 organization’s 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

Bachelor's 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:

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