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Cloud Data Engineer Jobs in Washington (NOW HIRING)

Parsons Corporation

Cloud Data Engineer

Falls Church, VA · On-site

$112K - $196K/yr

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 ...

Parsons

Cloud Data Engineer

Falls Church, VA

$112K - $196K/yr

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 ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

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Cloud Data Engineer information

See Washington salary details

$26

$71

$98

How much do cloud data engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for cloud data engineer in Washington is $71.22, according to ZipRecruiter salary data. Most workers in this role earn between $60.72 and $81.15 per hour, depending on experience, location, and employer.

What is a cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.

What are the key skills and qualifications needed to thrive as a cloud data engineer?

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

What is the difference between Cloud Data Engineer vs Data Analyst?

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and infrastructure in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data storage, and ensure data quality and security to support analytics and business decision-making.

What are the most commonly searched types of Cloud Data Engineer jobs in Washington?

The most popular types of Cloud Data Engineer jobs in Washington are:

What are popular job titles related to Cloud Data Engineer jobs in Washington?

For Cloud Data Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Cloud Data Engineer jobs in Washington look for?

The top searched job categories for Cloud Data Engineer jobs in Washington are:

What cities in Washington are hiring for Cloud Data Engineer jobs?

Cities in Washington with the most Cloud Data Engineer job openings:

Cloud Data Engineer jobs near you
Infographic showing various Cloud Data Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $148,146 per year, or $71.2 per hour.

Cloud Data Engineer

Parsons Corporation

Falls Church, VA • On-site

$112K - $196K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Parsons rating

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

266th of 449 rated engineering

Job description

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
  • 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 GitLab CI/CD, Jenkins, GitHub Actions, or comparable CI/CD tools
  • Experience with relational and/or NoSQL databases
  • Experience with data modeling, large-scale processing, or streaming/event-driven architectures
  • Familiarity with Docker, Kubernetes, or other containerization tools
  • Exposure to DevOps/DevSecOps practices
  • Experience assessing software dependencies, licensing, or supply chain security
  • Background supporting federal, defense, intelligence, or other mission-driven organizations
  • AWS certification (Developer, Solutions Architect, Data Engineer, or DevOps Engineer)
  • Active or eligible security clearance, where applicable

Security Clearance Requirement:
An active Secret security clearance is required for this position.
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $112,200.00 - $196,400.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

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