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Cloud Data Engineer Jobs in Washington (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 Jul 30, 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 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 are the key skills and qualifications needed to thrive as a Cloud Data Engineer, and why are they important?

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 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 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 cities in Washington are hiring for Cloud Data Engineer jobs? Cities in Washington with the most Cloud Data Engineer job openings:
Infographic showing various Cloud Data Engineer job openings in Washington as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $148,146 per year, or $71.2 per hour.

Cloud Data Engineer - Clearance Required

Phoenix Operations Group

Washington, DC โ€ข On-site

$68.75 - $89.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Description:

Phoenix Ops Group is seeking qualified candidates for mission-oriented cloud, data, and AI-enabling technology work. Multiple levels may be considered based on experience, including mid-level and senior candidates. We are seeking a hands-on Cloud Data Engineer to support cloud-based data pipelines, APIs, data services, and modern data platforms.


This role is focused on helping integrate data sources, services, pipelines, and applications into secure, operational cloud environments that support advanced analytics, automation, and AI-enabled mission capabilities. Candidates should be comfortable working across data engineering, ETL, API integration, software development, distributed services, and cloud-based platform teams.


Experience with AWS and Databricks is highly desired.


Responsibilities

  • Design, develop, test, and support cloud-based data engineering capabilities.
  • Build, maintain, and troubleshoot ETL pipelines and data workflows.
  • Integrate data sources, APIs, applications, distributed services, and cloud services.
  • Develop and support data processing pipelines, database applications, and data services.
  • Support data movement, transformation, validation, testing, and operational readiness activities.
  • Develop or integrate RESTful APIs, services, and data-driven applications where needed.
  • Work with cloud platform, software engineering, and DevSecOps teams to support deployment of integrated capabilities.
  • Use Git-based source control and CI/CD practices, including tools such as GitLab CI/CD, Jenkins, GitHub Actions, or comparable platforms.
  • Participate in Agile development activities, code reviews, testing, debugging, and technical documentation.
  • Assist with deployment, configuration, maintenance, and troubleshooting in Linux and cloud-based environments.
  • Document data flows, interfaces, system dependencies, code comments, integration approaches, and technical decisions.
  • Collaborate with mission, engineering, data, security, technical, and user stakeholders to support practical implementation needs.
  • Apply secure coding, automated testing, and engineering best practices throughout the development lifecycle.
  • Support secure software and data practices, including safeguarding sensitive, proprietary, CUI, or classified information where applicable.
  • Operate effectively in secure, government, defense, or mission-oriented environments.

Required Qualifications

  • Hands-on experience in data engineering, data integration, cloud data development, or software engineering.
  • Experience developing ETL pipelines, data workflows, or data processing capabilities.
  • Experience integrating APIs, applications, services, databases, or data sources.
  • Experience developing software in modern languages such as Python, Java, or JavaScript/TypeScript.
  • Familiarity with RESTful APIs, distributed applications, or cloud-based software environments.
  • Familiarity with cloud-based data platforms and cloud-native services.
  • Experience developing, testing, or troubleshooting in Linux-based development or operational environments.
  • Familiarity with Git-based source code management and collaboration tools.
  • Familiarity with Agile development, code reviews, testing, debugging, and collaborative engineering practices.
  • Familiarity with secure coding, automated testing, and software engineering best practices.
  • Ability to troubleshoot data pipeline, data integration, API, database, software, and interface issues.
  • Strong analytical, problem-solving, verbal, and written communication skills.
  • Ability to work collaboratively within engineering teams and adapt to evolving technical requirements.
  • Ability to support secure or mission-oriented environments.

Desired Qualifications

  • Experience with AWS cloud services.
  • Experience with Databricks or comparable cloud data platforms.
  • Experience with Python, SQL, Spark, Java, or similar data engineering technologies.
  • Experience with GitLab, GitLab CI/CD, Jenkins, GitHub Actions, or comparable development and CI/CD platforms.
  • Experience working with relational and/or NoSQL databases.
  • Experience with unit testing or automated testing frameworks.
  • Experience with data modeling, large-scale data processing, event-driven architectures, or streaming data technologies.
  • Familiarity with containerization or deployment technologies such as Docker or Kubernetes.
  • Familiarity with DevOps or DevSecOps practices.
  • Experience evaluating software dependencies, licensing considerations, or supply chain security risks.
  • Experience supporting federal, defense, intelligence, scientific, or other mission-oriented environments.
  • AWS certifications such as Developer, Solutions Architect, Data Engineer, or DevOps Engineer are a plus.
  • Active or eligible security clearance preferred, if applicable.

Candidate Profile

The ideal candidate is a practical, hands-on engineer who can connect data, APIs, services, databases, software applications, and cloud platforms into working mission capabilities. This role is not intended as a traditional systems engineering or architecture role; the emphasis is on implementation, integration, testing, secure development, and operational usefulness.


Benefits Offered:
Medical, Dental, Vision Insurance - 100% Company Paid Premiums STD, LTD, and Life Insurance - 100% Company paid 401K โ€“ Automatic 10% company contribution; no matching required PTO - 4 weeks/year Holidays - 11 paid/year Birthdays off with pay Referral Bonuses โ€“ Upfront AND Annually Recurring Open Source Bonuses โ€“ Contribute to our Github projects Professional Development โ€“ Paid training, Certifications, and Enrichment

ABOUT PHOENIX OPERATIONS GROUP:

Phoenix Operations Group is a high-end engineering services company dedicated to protecting and advancing our national cyber resources. As a small company, we rely on innovation to continually advance our employees' skills and provide game-changing solutions to our customers.


Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. We support operational missions (All-Source, Financial, CND) and serve as Product Owners for our open-source research initiatives.


Please visit us at http://www.phoenix-opsgroup.com for more information.

Phoenix Operations Group is an Equal Opportunity Employer. Phoenix Operations Group does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.

Requirements: