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Azure Automation Jobs (NOW HIRING)

Senior Azure Engineer

Washington, DC · On-site

$140 - $155/hr

Automation tools (PowerShell, Azure Automation, AZ Copy) Preferred Qualifications * Strong experience creating architecture artifacts and high‑level data models * Ability to lead technical ...

Azure CMS Engineer

Hermitage, TN · On-site

$48.25 - $59.75/hr

... Azure Automation and develop Azure DevOps CI/CD pipelines for automated deployments. • Provide technical support for cloud-based applications and infrastructure. Troubleshoot and resolve ...

Azure Cloud Engineer

Albany, NY · Remote

$57 - $76.25/hr

Proficiency in PowerShell or Azure Automation for script-based automation. * Strong understanding of networking, including VNETs, VPNs, and load balancing in Azure. * Experience with Azure cost ...

Azure Cloud Engineer III

Salisbury, NC · On-site

$125K - $187K/yr

... Azure Monitor, Log Analytics. * Hands-on experience with IaC tools like ADO, ARM, Terraform ... Hands-on with automation, IAM, networking, and core cloud services. * Familiarity with containers ...

Principal Azure Cloud Engineer

Chantilly, VA · On-site

$57.50 - $77/hr

Writing and maintaining automation scripts in PowerShell, Python, or Azure CLI and executing them using services such as Logic Apps, Azure Automation, and Azure Functions * Configuring network ...

Principal Azure Cloud Engineer

Chantilly, VA · On-site

$57.50 - $77/hr

Writing and maintaining automation scripts in PowerShell, Python, or Azure CLI and executing them using services such as Logic Apps, Azure Automation, and Azure Functions * Configuring network ...

Showing results 21-40

Azure Automation information

See salary details

$31K

$116.6K

$169.5K

How much do azure automation jobs pay per year?

As of Aug 9, 2026, the average yearly pay for azure automation in the United States is $116,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What is Azure Automation?

Azure Automation is a cloud-based service provided by Microsoft Azure that allows users to automate, configure, and manage tasks across Azure and non-Azure environments. It enables the automation of repetitive processes using runbooks (PowerShell or Python scripts), configuration management, and update management. This helps organizations reduce manual errors, save time, and improve operational efficiency. Azure Automation can be used to deploy resources, manage updates, and orchestrate complex workflows across hybrid cloud environments.

What is the difference between Azure Automation vs Azure DevOps Engineer?

AspectAzure AutomationAzure DevOps Engineer
Primary FocusAutomating cloud management tasks and processes in AzureDeveloping, implementing, and managing DevOps practices and CI/CD pipelines in Azure
Required SkillsAzure services, scripting (PowerShell, Python), automation toolsDevOps tools, Azure DevOps, scripting, CI/CD, infrastructure as code
CertificationsAzure Administrator, Azure DeveloperAzure DevOps Engineer Expert, Azure Solutions Architect
Work EnvironmentCloud automation, scripting, Azure portalSoftware development lifecycle, collaboration, Azure DevOps platform

Azure Automation focuses on automating cloud management tasks within Azure, while Azure DevOps Engineer specializes in building and managing development pipelines and DevOps practices. Both roles require scripting skills and Azure certifications but serve different aspects of cloud and software development management.

What are the key skills and qualifications needed to thrive as an Azure Automation engineer?

To thrive as an Azure Automation Engineer, you need expertise in cloud computing, scripting languages like PowerShell or Python, and a solid understanding of Azure services, typically supported by certifications such as Microsoft Certified: Azure Administrator Associate. Familiarity with Azure Automation, ARM templates, CI/CD pipelines, and monitoring tools is crucial for managing and deploying cloud resources efficiently. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate across teams and resolve complex automation challenges. These skills ensure the reliable, scalable, and secure automation of IT workflows, which is essential for operational efficiency in cloud environments.

What are some typical challenges faced by professionals working in Azure Automation roles, and how can they be addressed?

Professionals in Azure Automation often encounter challenges such as keeping up with frequent platform updates, managing complex workflows across hybrid environments, and ensuring robust security for automated processes. Adapting to new features and changes requires continuous learning and proactive monitoring of Azure's documentation and community forums. Collaborating closely with development, operations, and security teams helps ensure that automation scripts are reliable, well-documented, and aligned with organizational standards.
More about Azure Automation jobs
What cities are hiring for Azure Automation jobs? Cities with the most Azure Automation job openings:
What states have the most Azure Automation jobs? States with the most job openings for Azure Automation jobs include:
Infographic showing various Azure Automation job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $116,607 per year, or $56.1 per hour.

Senior Azure Engineer

Cognizant

Washington, DC • On-site

$140 - $155/hr

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants


Job description

Data Architect – Azure & Databricks

Location: Washington, DC (Onsite)

Role Summary

We are seeking an experienced Data Architect with deep expertise in Azure Data Platform and Databricks to design and deliver scalable, modern data solutions. In this role, you will define enterprise-grade data architectures, guide engineering teams, and ensure high-quality, reusable, and future-ready data platforms.

You will play a strategic role in shaping data ecosystems, enabling analytics, and supporting business-critical data initiatives.

Key Responsibilities
  • Design, develop, and maintain core data architecture frameworks leveraging Azure Data Factory, Azure Data Lake, and Databricks
  • Define and communicate technical architecture decisions, including constraints, trade-offs, and design standards
  • Design scalable, flexible, and reusable data solutions aligned with enterprise strategy
  • Provide guidance on deployment strategies, ensuring solutions are safe, incremental, and reversible
  • Lead the development of standard methodologies, frameworks, and reusable components
  • Collaborate with technical leads, project managers, and data engineers to review and validate solution designs
  • Establish and enforce data engineering best practices, governance, and coding standards
  • Evaluate and recommend emerging technologies to improve data platform efficiency and scalability
  • Proactively identify and mitigate technical risks and challenges, ensuring timely resolution
  • Stay current with evolving trends in data platforms, cloud technologies, and data engineering practices
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or Information Systems
  • 8+ years of experience designing and implementing enterprise data solutions
  • Proven experience as a Data Architect within the Microsoft Azure ecosystem
Technical Expertise
  • Strong hands‑on experience with:
    • Azure Data Factory (ADF)
    • Azure Synapse Analytics
    • Azure Databricks
    • Azure SQL Database
    • Azure Functions & Logic Apps
  • Expertise in data warehousing and modeling techniques:
    • Dimensional modeling
    • Star schema
    • Data Vault
    • Medallion architecture
  • Experience with modern data platforms and tools:
    • Databricks, Spark, Snowflake, Kafka, Hadoop, or Dremio
  • Advanced proficiency in:
    • SQL and relational databases (SQL Server, Oracle, PostgreSQL)
    • Python and Spark‑based data processing
  • Deep knowledge of ETL/ELT frameworks, including batch and real‑time data processing
  • Experience designing data solutions for API, .NET, and analytics consumption (e.g., Power BI)
  • Familiarity with:
    • Azure DevOps
    • ARM templates
    • Automation tools (PowerShell, Azure Automation, AZ Copy)
Preferred Qualifications
  • Strong experience creating architecture artifacts and high‑level data models
  • Ability to lead technical discussions and influence stakeholders across varying perspectives
  • Demonstrated ability to drive alignment and deliver results in complex environments
  • Excellent organizational, communication, and stakeholder management skills
Behavioral Competencies
  • Strategic thinker with strong problem‑solving skills
  • Collaborative mindset with ability to influence and drive consensus
  • Ownership‑driven with strong attention to detail and execution
  • Continuous learner with passion for emerging data technologies
Salary & Compensation
  • Base Salary Range: $140,000 – $155,000 per year
  • This position is also eligible for performance‑based bonuses and comprehensive benefits (health, dental, vision, 401(k), and more).
  • Compensation may vary based on experience, skills, and other factors.
Work Environment
  • Onsite role based in Washington, DC
  • Collaborative, fast‑paced environment working with cross‑functional teams and client stakeholders
Why Cognizant

At Cognizant, we help organizations modernize technology, reimagine processes, and transform experiences. You’ll work alongside industry experts on cutting‑edge platforms, driving impactful transformation for global clients.

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