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Entry Level Azure Jobs in Dallas, TX (NOW HIRING)

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Entry Level Azure information

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$10

$57

$78

How much do entry level azure jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level azure in Dallas, TX is $57.77, according to ZipRecruiter salary data. Most workers in this role earn between $52.31 and $64.90 per hour, depending on experience, location, and employer.

What is an entry level Azure professional?

Entry level Azure jobs are positions that require basic knowledge and skills in Microsoft Azure, typically aimed at individuals who are new to cloud computing or just starting their careers. These roles often include titles like Azure Cloud Support Associate, Junior Cloud Engineer, or Azure Administrator. Responsibilities may involve assisting with cloud migrations, managing Azure resources, monitoring cloud infrastructure, and troubleshooting basic issues. Employers usually look for candidates with foundational Azure certifications such as the Microsoft Certified: Azure Fundamentals (AZ-900). These positions provide valuable hands-on experience and a pathway to more advanced cloud roles.

What types of projects and tasks can I expect to work on as an entry level Azure professional?

As an Entry Level Azure professional, you will typically assist with deploying and managing cloud resources, monitoring system performance, and troubleshooting basic issues within Microsoft Azure environments. You may also support migration projects, help configure security settings, and provide routine maintenance of virtual machines and storage solutions. Collaboration with more experienced engineers and IT teams is common, offering a valuable learning environment where you can build foundational cloud skills and grow into more advanced responsibilities over time.

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

To thrive as an Entry Level Azure professional, you need a basic understanding of cloud computing concepts, networking, and familiarity with the Microsoft Azure platform, often supported by a relevant degree or Azure Fundamentals certification (AZ-900). Experience with Azure Portal, Azure CLI, and resource management tools is commonly required. Strong problem-solving skills, willingness to learn, and effective communication help you adapt and collaborate in cloud-focused teams. These skills and qualities ensure you can efficiently support cloud deployments and contribute to organizational digital transformation initiatives.

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

AspectEntry Level AzureEntry Level Cloud Support Engineer
CertificationsAzure Fundamentals (AZ-900), basic cloud knowledgeCloud certifications (e.g., AWS, Azure fundamentals), basic troubleshooting skills
Work EnvironmentPrimarily Microsoft Azure cloud platform, enterprise environmentsVarious cloud platforms, including Azure, AWS, or GCP, in support roles
Industry UsageIT, cloud services, enterprise solutionsIT support, cloud service providers, tech companies
Search & Comparison IntentUnderstanding entry-level Azure rolesComparing entry-level cloud support roles

Entry Level Azure focuses on basic knowledge of Microsoft Azure services and certifications, suitable for roles working directly with Azure cloud solutions. Entry Level Cloud Support Engineer covers a broader support role across multiple cloud platforms, including Azure, emphasizing troubleshooting and customer support skills. Both roles are ideal for beginners but differ in platform specialization and scope.

How to start a career in Entry Level Azure?

To start a career as an Entry Level Azure professional, gain foundational knowledge of cloud computing and Microsoft Azure services through online courses or certifications like Microsoft Certified: Azure Fundamentals. Develop skills in scripting, networking, and security, and gain hands-on experience with Azure portals and tools to build practical understanding.

What are some entry level jobs at Microsoft?

Entry level jobs at Microsoft for roles like Azure support engineer, cloud operations associate, or technical support specialist typically require basic knowledge of cloud services, scripting, and certifications such as Microsoft Certified: Azure Fundamentals. These positions often involve assisting with cloud deployments, troubleshooting, and customer support, and may offer training programs for new graduates or those new to cloud technology.

What are the most commonly searched types of Azure jobs in Dallas, TX?

The most popular types of Azure jobs in Dallas, TX are:

What are popular job titles related to Entry Level Azure jobs in Dallas, TX?

For Entry Level Azure jobs in Dallas, TX, the most frequently searched job titles are:

What cities near Dallas, TX are hiring for Entry Level Azure jobs?

Cities near Dallas, TX with the most Entry Level Azure job openings:

Infographic showing various Entry Level Azure job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $120,168 per year, or $57.8 per hour.

GenAI Python Systems Engineer - Experienced Associate

Pwc

Dallas, TX

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


PwC rating

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


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

What PwC employees say

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Benefits

Hours and flexibility

Workplace

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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