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

Senior Google CX Engineer (GECX)

Durham, NC · On-site +1

$116K - $146K/yr

Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering. From ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Work closely with data engineering and ML Ops functional roles to operationalize data science ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Experience with Databricks, Spark, cloud-based analytics platforms, or large-scale data environments. * Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering ...

Drive measurable reduction in data exposure across cloud, SaaS, and data platforms * Ensure ... Help Account Managers and Sales Engineers identify renewal risk and collaborate to remediate and ...

... Data project. Experience with BigQuery and Looker is required along with as much Google Cloud ... Visualization Engineer and Ingestion Engineers. All roles will be remote and can be located ...

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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:
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.
Site Reliability Engineering (SRE) & DevOps

Site Reliability Engineering (SRE) & DevOps

NTT DATA Services

Raleigh, NC • On-site, Remote

$91K - $135K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 210 rated it services


Job description

Req ID: 381565 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Site Reliability Engineering (SRE) & DevOps to join our team in Raleigh, North Carolina (US-NC), United States (US).

Job Title: Technology Consultant - Site Reliability Engineering (SRE) & DevOps

Location: North Carolina, Raleigh

Overall Experience: 5+ Years

Role Summary:

We are seeking an experienced Technology Consultant - Site Reliability Engineering (SRE) & DevOps to join a high-performing, cross-functional SRE team. The ideal candidate should have strong expertise in cloud engineering, infrastructure automation, monitoring, and DevOps practices, with hands-on experience in Google Cloud Platform (GCP). The candidate will act as a Subject Matter Expert (SME) for operational automation, proactively identify operational toil (TOIL), and design and implement automation solutions that improve operational efficiency, reliability, and scalability across enterprise platforms.

Day to Day Job Duties:

  • Design, develop, and implement automation solutions to eliminate operational TOIL and improve system reliability.
  • Manage and support cloud infrastructure on Google Cloud Platform (GCP).
  • Define and monitor Service Level Indicators (SLIs), Service Level Objectives (SLOs), Customer/User Journey (CUJ) metrics, and Error Budgets based on Non-Functional Requirements (NFRs).
  • Develop and maintain Infrastructure as Code (IaC) using Terraform and GitHub.
  • Build automation scripts using Python and PowerShell to streamline operational activities.
  • Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
  • Design and implement automated operational workflows and infrastructure provisioning.
  • Collaborate with development, operations, and platform engineering teams to improve system performance, availability, and scalability.
  • Participate in incident management, root cause analysis, and continuous service improvement initiatives.
  • Follow Agile, DevOps, and Site Reliability Engineering (SRE) best practices.

Basic Qualifications:

  • 3+ years of experience in Site Reliability Engineering (SRE), DevOps, or Cloud Engineering.
  • 2+ years' experience with Google Cloud Platform (GCP).
  • 2 + years' experience in SLI, SLO, Error Budgets, and observability practices.
  • 2 + years' experience in Python and PowerShell
  • 2 + years' experience in Infrastructure as Code (Terraform) and Git-based version control.

Nice to Have:

  • Container Technologies: Kubernetes, Docker
  • Experience with CI/CD and release management tools such as Jenkins, Maven, Ant, Puppet, Gradle, Ansible, TeamCity, uDeploy, and Dataproc.
  • Experience with Microservices architecture.
  • Knowledge of programming languages such as Java or C#.
  • Understanding of CI/CD pipeline design, implementation, and optimization.
  • Experience working in Agile/Scrum and DevOps delivery environments.

    NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $91,000-$135,000. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.

    This position may also be eligible for incentive compensation based on individual and/or company performance. 

    This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967