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 Dev Sec Ops  teams on deployment

Use Git-based version control and CI/CD tooling (Git Lab CI/CD, Jenkins, Git Hub 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/Type Script Working  knowledge of cloud-native data platforms and services

Experience developing or troubleshooting in Linux-based environments

Familiarity with Git and collaborative source control workflows

Understanding of secure coding and software engineering best practices

Strong troubleshooting skills across pipelines, APIs, databases, and integrations

Solid analytical, problem-solving, and communication skills

Ability to collaborate across engineering teams and adapt to shifting requirements

Ability to work within secure or mission-oriented environments

Nice to Have:

Hands-on experience with AWS cloud services

Experience with Databricks or similar cloud data platforms

Experience with Git Lab CI/CD, Jenkins, Git Hub Actions, or comparable CI/CD tools

Experience with relational and/or No

SQL databases

Experience with data modeling, large-scale processing, or streaming/event-driven architectures

Familiarity with Docker, Kubernetes, or other containerization tools

Exposure to Dev Ops/Dev Sec Ops  practices

Experience assessing software dependencies, licensing, or supply chain security

Background supporting federal, defense, intelligence, or other mission-driven organizationsAWS certification (Developer,…