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Entry Level Microsoft Azure Jobs in Springfield, VA

Pwc

Data Engineer - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

... AWS and Microsoft Azure - Excelling in data architecture development and data modeling ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

RSM

Temporary Risk Consulting Analyst

Mclean, VA

$30/hr

Common cloud platforms - Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform ... RSM does not intend to hire entry level candidates who will require sponsorship now OR in the ...

AHEAD

Senior Pre-Sales Engineer - Network

Washington, DC

$117K - $161K/yr

... Microsoft Azure or other cloud services is a key requirement. Roles & Responsibilities ... Participates in mentorship of entry-level team members * Possesses strong, detailed product ...

Chenega MIOS

Jr. Front End Developer

Vienna, VA · On-site

$104K - $121K/yr

Familiarity with cloud platforms (Azure, AWS, or Google Cloud Platform) * Experience with ... Excellent skills in Microsoft Word, Excel, and other Office applications * Proficient with ...

Chenega Corporation

Jr. Front End Developer

Vienna, VA · On-site

$104K - $121K/yr

Excellent skills in Microsoft Word, Excel, and other Office applications * Proficient with ... From entry-level employees to senior leaders, we believe there's always room to learn. We offer ...

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How much do entry level microsoft azure jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for entry level microsoft azure in Springfield, VA is $61.00, according to ZipRecruiter salary data. Most workers in this role earn between $55.24 and $68.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Microsoft Azure position, and why are they important?

To thrive as an Entry Level Microsoft Azure professional, you should have a basic understanding of cloud computing concepts, familiarity with Azure services, and a degree in computer science, IT, or a related field. Proficiency with Azure Portal, virtual machines, and understanding of key certifications like Microsoft Certified: Azure Fundamentals (AZ-900) are highly beneficial. Strong problem-solving abilities, effective communication, and eagerness to learn make candidates stand out in this position. These skills and qualities are crucial for adapting to evolving technology, efficiently supporting cloud environments, and collaborating within IT teams.

What is an Entry Level Microsoft Azure job?

An Entry Level Microsoft Azure job is a position for individuals who are new to cloud computing and Microsoft Azure. These roles typically involve tasks such as managing virtual machines, configuring storage solutions, and assisting with cloud deployments. Employers may seek candidates with foundational knowledge of Azure services, networking, and security, often validated through certifications like Microsoft Certified: Azure Fundamentals. Strong problem-solving skills and a willingness to learn are essential, as these roles provide hands-on experience with cloud technologies.

What are some typical tasks and responsibilities for someone in an Entry Level Microsoft Azure position?

In an Entry Level Microsoft Azure role, your daily responsibilities may include assisting with cloud resource deployment, monitoring system performance, troubleshooting basic issues, and supporting senior cloud engineers with larger projects. You may also help document processes, manage user access, and provide support for Azure-based applications. Many teams work collaboratively, giving you opportunities to learn from experienced colleagues and gain practical, hands-on experience with Azure tools. This foundational work is essential for building your expertise and preparing for more advanced cloud computing roles in the future.

What are popular job titles related to Entry Level Microsoft Azure jobs in Springfield, VA? For Entry Level Microsoft Azure jobs in Springfield, VA, the most frequently searched job titles are:
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Entry Level Microsoft Azure jobs near you
Federal AI Solutions Engineer (Entry Level)

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA

$85K - $105K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

  • 0-2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 - $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities

Apply