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Senior Cloud Data Engineer Jobs (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 ... This position is open to candidates at multiple experience levels, from mid-career to senior. You ...

Endeavor Health

Cloud Data Engineer

Skokie, IL

$41.64 - $64.54/hr

Cloud Data Engineer * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice) * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position Job Summary: The Cloud Data ...

NorthShore

Cloud Data Engineer

Skokie, IL · On-site

$41.64 - $64.54/hr

Cloud Data Engineer * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice) * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position Job Summary: The Cloud Data ...

SGS Consulting

AWS Cloud Data Engineer

San Francisco, CA · On-site

$65.75 - $87.75/hr

AWS Cloud Data Engineer Duration: 18 Months Location: San Francisco, CA Note: No C2C allowed in this role. We are seeking an experienced Lead Cloud Data Engineer to design and modernize enterprise ...

Bankunited

Cloud Data Engineer II

Miami Lakes, FL · On-site

$51 - $68.25/hr

The Cloud Data Engineer II will play a pivotal role in managing and optimizing cloud infrastructure and services. This position is responsible for implementing and maintaining cloud-based solutions ...

BankUnited

Cloud Data Engineer II

Miami Lakes, FL · On-site

$50.50 - $67.50/hr

The Cloud Data Engineer II will play a pivotal role in managing and optimizing cloud infrastructure and services. This position is responsible for implementing and maintaining cloud-based solutions ...

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Senior Cloud Data Engineer information

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$81K

$126.3K

$175K

How much do senior cloud data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior cloud data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What is a senior cloud data engineer?

Senior Cloud Data Engineers are experienced professionals who design, build, and maintain data processing systems on cloud platforms. They are responsible for creating scalable, secure, and efficient data pipelines and ensuring data is accessible for analysis and reporting. These engineers often work with tools and services from cloud providers like AWS, Azure, or Google Cloud, and collaborate closely with data scientists, architects, and other stakeholders. Their expertise in both cloud infrastructure and data engineering allows organizations to leverage large volumes of data for business insights.

What are some common challenges faced by senior cloud data engineers when migrating on-premises data systems to the cloud?

Senior Cloud Data Engineers often encounter challenges such as ensuring data integrity and security during migration, minimizing downtime, and handling compatibility issues between legacy systems and cloud platforms. They also need to optimize data pipelines for scalability and cost-effectiveness in the new environment. Close collaboration with stakeholders from IT, security, and business units is crucial to align migration goals and manage expectations throughout the process.

What are the key skills and qualifications needed to thrive as a senior cloud data engineer, and why are they important?

To thrive as a Senior Cloud Data Engineer, you need advanced expertise in data engineering, cloud platforms (such as AWS, Azure, or Google Cloud), programming languages (like Python or Scala), and a strong foundation in database technologies. Proficiency with cloud-based tools (e.g., AWS Glue, Azure Data Factory), big data frameworks (such as Spark or Hadoop), and relevant certifications (like AWS Certified Data Analytics) is highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate across teams help you excel in designing and optimizing complex data solutions. These skills ensure scalable, secure, and efficient data pipelines that support business analytics and innovation.

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

AspectSenior Cloud Data EngineerCloud Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced certifications (e.g., AWS Certified Data Analytics), and expertise in cloud platformsEntry to mid-level experience, foundational certifications, and basic cloud platform knowledge
Work EnvironmentDesigns and oversees complex data pipelines, mentors junior staff, and handles high-level architectureBuilds and maintains data pipelines, performs data integration, and supports data operations
Employer & Industry UsageUsed in large enterprises, tech companies, and data-driven organizationsCommon in startups, mid-sized companies, and organizations adopting cloud data solutions

The main difference between a Senior Cloud Data Engineer and a Cloud Data Engineer lies in experience, responsibilities, and expertise. Senior roles involve leadership, complex architecture, and mentorship, while Cloud Data Engineers focus on building and maintaining data pipelines. Both roles are essential in cloud data environments, but senior positions require more advanced skills and strategic oversight.

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Senior Cloud Data Engineer jobs near you
Infographic showing various Senior Cloud Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Cloud Data Engineer

Parsons Corporation

Falls Church, VA • On-site

$112K - $196K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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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