ZipRecruiter

Log In

2

Remote Cloud Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Jaggaer

Cloud Engineer

Durham, NC · On-site +1

$53.75 - $72/hr

As a Cloud Engineer, you will play a key role in designing, deploying, and maintaining cloud-based ... Data and evidence guide our decisions, help us course-correct quickly, and ensure we're delivering ...

FHR

MO2-613-Senior Azure Cloud Engineer 11694-1

Raleigh, NC · Remote

$57 - $76.25/hr

100% Remote. Our direct client has an opening for a Senior Azure Cloud Engineer 11694-1 This ... I consent to FHR, its affiliates, third parties and partners processing my personal data for these ...

next page

Showing results 1-20

All JobsCloud Data Engineer JobsRemote Cloud Data Engineer JobsRemote Cloud Data Engineer Jobs in Raleigh, NC

Remote Cloud Data Engineer information

See Raleigh, NC salary details

$22

$61

$84

How much do remote cloud data engineer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for remote cloud data engineer in Raleigh, NC is $61.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $69.62 per hour, depending on experience, location, and employer.

How does a Remote Cloud Data Engineer typically collaborate with cross-functional teams?

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

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

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

What is a Remote Cloud Data Engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.
What are the most commonly searched types of Cloud Data Engineer jobs in Raleigh, NC? The most popular types of Cloud Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Remote Cloud Data Engineer jobs in Raleigh, NC? For Remote Cloud Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Cloud Data Engineer jobs in Raleigh, NC are:
Remote Cloud Data Engineer jobs near you
Infographic showing various Remote Cloud Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $127,150 per year, or $61.1 per hour.
Cloud Platform Engineer (GCP) - Remote

Cloud Platform Engineer (GCP) - Remote

micro1 AI

Raleigh, NC • Remote

$20 - $300/hr

Part-time

Medical, Retirement, PTO

Posted 7 days ago

Job description

GCP DevOps Engineer


Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions on GCP.

• Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

• Administer and optimize Kubernetes clusters for maximum reliability and performance.

• Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

• Ensure the security and compliance of cloud environments by applying best practices.

• Proactively identify and resolve infrastructure bottlenecks and incidents.

• Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.


Required Skills and Qualifications:

• Strong hands-on experience with Google Cloud Platform (GCP).

• Deep expertise in implementing and operating cloud infrastructure in production settings.

• Proficiency with Kubernetes administration and orchestration.

• Solid understanding of DevOps methodologies, tools, and best practices.

• Experience building and maintaining CI/CD pipelines.

• Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

• Excellent written and verbal communication skills; ability to convey complex concepts clearly.


Preferred Qualifications:

• GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

• Experience with hybrid or multi-cloud environments.

• Familiarity with security best practices and compliance standards relevant to cloud-native architectures.


Compensation & Benefits Notice


The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer


The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

Apply