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Entry Level Cloud Engineer Jobs in Greer, SC (NOW HIRING)

... data engineers to design and construct data pipelines for reproducible analysis Leverage cloud ... Entry-Level Job Family: Engineering/Science/Technology Product Service Line: Production ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Entry Level Cloud Engineer information

See Greer, SC salary details

$22

$60

$83

How much do entry level cloud engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for entry level cloud engineer in Greer, SC is $60.46, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $68.89 per hour, depending on experience, location, and employer.

What is an entry level cloud engineer?

Entry Level Cloud Engineers are professionals who assist in designing, implementing, and managing cloud-based solutions for organizations. They typically work with cloud platforms like AWS, Microsoft Azure, or Google Cloud to help migrate, deploy, or maintain applications and infrastructure. These roles are suitable for individuals who are new to cloud computing and often involve tasks such as configuring virtual machines, monitoring cloud resources, and supporting senior engineers. Entry level positions usually require foundational knowledge of cloud concepts, networking, and some scripting or programming experience.

What does an entry level cloud engineer do?

As an entry-level cloud engineer, you work as a junior engineer to learn more about cloud software and storage through hands-on training. Many of these roles are unpaid or paid internships rather than part-time or full-time employment. Your duties include tasks involved with cloud computing, like designing a cloud network or managing information stored in the cloud. You handle your responsibilities under the supervision of a skilled cloud engineer who trains you on the job. You need excellent computer, programming, and development skills and a willingness to learn how to work as a cloud engineer.

What are the key skills and qualifications needed to thrive as an entry level cloud engineer, and why are they important?

To thrive as an Entry Level Cloud Engineer, you need foundational knowledge of cloud computing concepts, networking, and scripting, often supported by a degree in computer science or a related field. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Cloud Practitioner or Azure Fundamentals, is highly valued. Strong problem-solving abilities, eagerness to learn, and effective teamwork set standout candidates apart. These skills are vital for building, maintaining, and optimizing cloud infrastructure in dynamic, collaborative technology environments.

What are some common challenges faced by entry level cloud engineers, and how can they be addressed?

Entry level cloud engineers often encounter challenges such as navigating complex cloud environments, adapting to rapidly evolving technologies, and understanding the security best practices required for cloud infrastructure. To address these, it's important to actively seek mentorship from experienced team members, participate in ongoing training, and regularly practice with cloud platforms like AWS, Azure, or Google Cloud. Collaboration with cross-functional teams—such as developers and security specialists—also helps in gaining a broader perspective and accelerating learning.

What is the difference between Entry Level Cloud Engineer vs Cloud Support Associate?

AspectEntry Level Cloud EngineerCloud Support Associate
Required CertificationsBasic cloud certifications (e.g., AWS Certified Cloud Practitioner)Basic cloud certifications often preferred
Work EnvironmentDesigning, deploying, and managing cloud solutionsProviding technical support and troubleshooting cloud issues
Employer & Industry UsageTech companies, cloud service providers, enterprisesIT service providers, cloud vendors, support centers
Common Search & Comparison IntentUnderstanding entry-level roles in cloud computingClarifying support-focused cloud roles

The Entry Level Cloud Engineer typically focuses on designing and deploying cloud solutions, requiring foundational certifications and technical skills. In contrast, a Cloud Support Associate primarily provides technical support and troubleshooting for cloud services. Both roles are entry-level but differ in responsibilities and daily tasks, catering to different career paths within cloud computing.

Are entry level cloud engineers still in demand?

Entry level cloud engineers are in high demand due to the increasing adoption of cloud computing across industries. Skills in platforms like AWS, Azure, or Google Cloud, along with knowledge of scripting and automation, enhance job prospects in this field.

What are the most commonly searched types of Cloud Engineer jobs in Greer, SC?

The most popular types of Cloud Engineer jobs in Greer, SC are:

What cities near Greer, SC are hiring for Entry Level Cloud Engineer jobs?

Cities near Greer, SC with the most Entry Level Cloud Engineer job openings:

Infographic showing various Entry Level Cloud Engineer job openings in Greer, SC as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,766 per year, or $60.5 per hour.

GenAI Python Systems Engineer - Experienced Associate

Spartanburg, SC


Pwc
Finance and Insurance • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

People enjoy working here

Good employer

Recommended by students


$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity
As a GenAI Python Systems Engineer - Experienced Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale, enabling informed decision-making and innovation.
As an Associate, you will focus on learning and contributing to client engagements while developing your skills and knowledge to deliver quality work. You will adapt to working with a variety of clients and team members, each presenting unique challenges and opportunities for growth. You are expected to take ownership and consistently deliver work that drives value for our clients and success as a team, building a personal brand and opening doors to more opportunities.
In this role at PwC, you will engage in designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will be part of a fast-paced environment, where every experience is an opportunity to learn and grow, contributing to the firm's success and your professional development.
Responsibilities
- Designing and implementing AI systems using Python and machine learning libraries such as Scikit-Learn
- Developing data pipelines and models to transform raw data into actionable insights for clients
- Collaborating with team members to support AI-driven automation and cognitive solutions
- Conducting complex data analysis to discern patterns and inform decision-making
- Applying programming languages to build scalable AI and machine learning solutions
- Confirming data quality and integrity throughout the development process
- Engaging in active listening and accepting feedback to enhance personal growth and team performance
- Building commercial awareness by understanding how the business works and its impact on client solutions
- Upholding professional and technical standards, including the Firm's code of conduct and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in Python and Scikit-Learn for machine learning
- Utilizing AI implementation skills in client-facing projects
- Engaging in complex data analysis and data modeling
- Applying machine learning libraries to enhance data-driven solutions
- Adapting to fast-paced environments with diverse client needs

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK


What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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