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Azure Data Factory Jobs in Nevada (NOW HIRING)

Cloud Infrastructure Engineer

Sloan, NV

$54.25 - $72.75/hr

Architect and implement infrastructure solutions across AWS, GCP, and Azure to meet business requirements. * Infrastructure as Code (IaC): Leverage Terraform to manage and provision cloud resources ...

... Azure, Google Cloud Platform, and Oracle Cloud. * Developing client deliverables, including ... Data Security Standard, or System and Organization Controls 2 * Experience with scripting or ...

Cloud Engineer

Las Vegas, NV · On-site

$53.50 - $71.50/hr

Working with IT teams on a wide variety of support functions including data integration, cloud ... solutions on AWS/Azure/ * Strong operating systems knowledge with Windows / Linux * Working ...

Cloud Engineer

Las Vegas, NV · On-site

$91K - $114K/yr

... to protect data and applications from unauthorized access and potential security threats ... Knowledge and experience with Cloud Platforms (Azure, AWS, OCI), Cloud Strategy, Design ...

... to protect data and applications from unauthorized access and potential security threats ... Knowledge and experience with Cloud Platforms (Azure, AWS, OCI), Cloud Strategy, Design ...

Cloud Engineer

Las Vegas, NV · On-site

$91K - $114K/yr

... to protect data and applications from unauthorized access and potential security threats ... Knowledge and experience with Cloud Platforms (Azure, AWS, OCI), Cloud Strategy, Design ...

Cloud Engineer

Las Vegas, NV · On-site

$53.50 - $71.50/hr

Working with IT teams on a wide variety of support functions including data integration, cloud ... solutions on AWS/Azure/ * Strong operating systems knowledge with Windows / Linux * Working ...

Delivery Management Engineer II

Las Vegas, NV · Hybrid

$53.25 - $71.25/hr

Multi-Platform Cloud Integration experience, bridging AWS, Azure, and GCP platforms for ... data platforms. Our delivery models are tailored to meet each client's unique requirements.

Senior Cloud Engineer

Las Vegas, NV · On-site

$105K - $131K/yr

Develop and enforce cloud security policies and procedures to protect data and applications from ... Advanced knowledge and experience with Cloud Platforms (Azure, AWS, OCI), Cloud Strategy, Design ...

Senior Cloud Engineer

Las Vegas, NV · On-site

$105K - $131K/yr

Develop and enforce cloud security policies and procedures to protect data and applications from ... Advanced knowledge and experience with Cloud Platforms (Azure, AWS, OCI), Cloud Strategy, Design ...

Senior Cloud Engineer

Las Vegas, NV · On-site

$105 - $132/hr

Develop and enforce cloud security policies and procedures to protect data and applications from ... Advanced knowledge and experience with Cloud Platforms (Azure, AWS, OCI), Cloud Strategy, Design ...

Senior Cloud Engineer

Las Vegas, NV · On-site

$105K - $131K/yr

Develop and enforce cloud security policies and procedures to protect data and applications from ... Advanced knowledge and experience with Cloud Platforms (Azure, AWS, OCI), Cloud Strategy, Design ...

Senior Cloud Engineer

Las Vegas, NV · On-site

$105K - $131K/yr

Develop and enforce cloud security policies and procedures to protect data and applications from ... Advanced knowledge and experience with Cloud Platforms (Azure, AWS, OCI), Cloud Strategy, Design ...

Showing results 21-40

Azure Data Factory information

See Nevada salary details

$11

$59

$81

How much do azure data factory jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for azure data factory in Nevada is $59.47, according to ZipRecruiter salary data. Most workers in this role earn between $53.85 and $66.83 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

What are the most commonly searched types of Azure Data Factory jobs in Nevada?

The most popular types of Azure Data Factory jobs in Nevada are:

What are popular job titles related to Azure Data Factory jobs in Nevada?

For Azure Data Factory jobs in Nevada, the most frequently searched job titles are:

Infographic showing various Azure Data Factory job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,700 per year, or $59.5 per hour.

Cloud Infrastructure Engineer

3B Staffing LLC

Sloan, NV

$54.25 - $72.75/hr

Full-time

Posted 4 days ago


Job description

Cloud Infrastructure Engineer

Key Responsibilities:

  • Design & Implement Cloud Solutions: Architect and implement infrastructure solutions across AWS, GCP, and Azure to meet business requirements.
  • Infrastructure as Code (IaC): Leverage Terraform to manage and provision cloud resources in an automated, repeatable, and scalable manner.
  • Container Orchestration: Design, deploy, and manage Kubernetes clusters on EKS, GKE, and AKS. Implement best practices for scaling, high availability, and performance optimization.
  • Cloud Security & Compliance: Work with security teams to implement best practices for securing cloud environments and ensure compliance with organizational policies and regulatory standards.
  • Monitoring & Logging: Implement monitoring, logging, and alerting solutions using tools like Elasticsearch, CloudWatch, and other cloud-native services to ensure operational health.
  • Automation & CI/CD: Automate deployment pipelines and infrastructure management workflows, enabling faster and more reliable releases using tools like Jenkins, GitLab CI/CD, and other relevant tools.
  • Serverless Technologies: Design and implement serverless solutions using AWS Lambda, GCP Cloud Functions, or Azure Functions.
  • Cloud Networking: Implement and manage CloudWAN and Virtual Private Cloud (VPC) designs, ensuring secure and optimized cloud networking between regions and services.
  • Service Mesh & Microservices: Deploy and manage Istio for microservices networking and Karpenter for dynamic scaling of Kubernetes clusters.
  • Collaboration & Mentorship: Collaborate with cross-functional teams (DevOps, development, security, etc.) to ensure alignment and successful project delivery. Provide mentorship and guidance to junior engineers.

Must-Have Skills and Qualifications:

  • Cloud Platforms: Extensive hands-on experience with at least three major cloud platforms (AWS, GCP, Azure).
  • Infrastructure as Code (IaC): Proficiency in Terraform to define and provision infrastructure in a scalable, reproducible manner.
  • Kubernetes: Strong experience with managing and deploying Kubernetes clusters, including hands-on experience with EKS, GKE, and AKS.
  • Serverless: Experience in building serverless architectures using AWS Lambda, Google Cloud Functions, or Azure Functions.
  • Cloud Networking: Deep understanding of CloudWAN, VPC, and multi-region networking in cloud environments.
  • Service Mesh: Hands-on experience with Istio for managing microservices networking, traffic routing, and security.
  • Scaling & Autoscaling: Expertise in Karpenter for Kubernetes cluster scaling and autoscaling best practices.
  • Search and Log Management: Familiarity with Elasticsearch for centralized logging, monitoring, and analytics.
  • Scripting & Automation: Proficiency in scripting languages (Python, Bash, etc.) and experience with automation frameworks.
  • CI/CD: Experience in setting up CI/CD pipelines and automating infrastructure management with tools like Jenkins, GitLab, or CircleCI.

Collaboration & Communication: Excellent collaboration, communication, and problem-solving skills to work in a cross-functional team environment.