Cloud Data Engineer

In a world of possibilities, pursue one with endless opportunities. Imagine Next!

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.

Job Description:

Parsons is looking for a hands-on Cloud Data Engineer to join our team supporting mission-critical cloud, data, and AI-enabling technology initiatives. This position is open to candidates at multiple experience levels, from mid-career to senior. You'll help design and support cloud-based data pipelines, APIs, and modern data platforms that power advanced analytics and automation for mission-focused programs.

This is an implementation-focused role — not a traditional architecture or systems engineering position. We need someone who enjoys building, integrating, and troubleshooting real working systems.

What You'll Do:

• Design, build, test, and support cloud-based data engineering solutions
• Develop and maintain ETL pipelines and data workflows
• Integrate data sources, APIs, applications, and distributed cloud services
• Build and support data processing pipelines, database applications, and data services
• Handle data movement, transformation, validation, and operational readiness tasks
• Develop or integrate RESTful APIs and data-driven applications as needed
• Partner with cloud platform, engineering, and DevSecOps teams on deployment
• Use Git-based version control and CI/CD tooling (GitLab CI/CD, Jenkins, GitHub Actions, or similar)
• Participate in Agile ceremonies, code reviews, testing, debugging, and documentation
• Support deployment, configuration, and troubleshooting in Linux and cloud environments
• Document data flows, interfaces, dependencies, and technical decisions
• Collaborate with mission, engineering, security, and stakeholder teams on practical implementation
• Apply secure coding and automated testing best practices throughout development
• Help safeguard sensitive, proprietary, CUI, or classified information as required
• Work effectively within secure, government, or defense-oriented environments

What You'll Need:

• Hands-on experience in data engineering, data integration, or software engineering
• Experience building ETL pipelines and data processing workflows
• Experience integrating APIs, applications, services, or databases
• Proficiency in a modern programming language — Python, Java, or JavaScript/TypeScript
• Working knowledge of cloud-native data platforms and services