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Remote Azure Data Factory Jobs in Nevada (NOW HIRING)

Senior Data Analyst

Reno, NV ยท On-site +1

$85K - $108K/yr

Nature and Scope This role can be either remote or hybrid. Primary Responsibilities: โ€ข Domain ... Azure applications). โ€ข Consultative Inquiry: Work with EDA leaders and stakeholders to define ...

Support factory witness testing and vendor quality reviews when required * Maintain quality ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Support factory witness testing and vendor quality reviews when required * Maintain quality ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

Remote (U.S. based; must be available during Pacific Time business hours) Pay: $60-70/hr This role ... It involves database programming, data migration, and support activities within complex IT ...

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Remote Azure Data Factory information

What are the key skills and qualifications needed to thrive as a Remote Azure Data Factory Engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What is a Remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.
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 Remote Azure Data Factory jobs in Nevada? For Remote Azure Data Factory jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Factory jobs in Nevada look for? The top searched job categories for Remote Azure Data Factory jobs in Nevada are:
What cities in Nevada are hiring for Remote Azure Data Factory jobs? Cities in Nevada with the most Remote Azure Data Factory job openings:
Technical Project Manager

Technical Project Manager

ECF Data

Las Vegas, NV โ€ข Remote

Other

Medical, Retirement, PTO

Posted 22 days ago


Job description

Benefits:

401(k)

Employee discounts

Health insurance

Paid time off

Professional Summary

Results-driven Technical Project Manager specializing in AI application development and cloud transformation using the Microsoft Azure ecosystem. Proven track record delivering enterprise-scale solutions leveraging Azure AI Foundry, Azure DevOps, and Microsoft 365 platforms. Adept at managing full project lifecyclesโ€”from ideation through deploymentโ€”while ensuring alignment with business objectives, security requirements, and user adoption strategies.

Experienced in cross-functional leadership, stakeholder engagement, and execution of complex, time-sensitive initiatives across regulated industries. Strong focus on AI-driven innovation, DevOps practices, and change management frameworks to deliver measurable outcomes

Core Competencies

AI Application Delivery (Azure AI Foundry, Azure OpenAI, Cognitive Services)

Azure DevOps (Boards, Pipelines, Repos, CI/CD)

Cloud Architecture & Azure Platform Services

Agile / Scrum / Hybrid Project Management

Change Management & End-User Adoption

Stakeholder & Executive Communication

Data & AI Governance (Security, Compliance, CUI considerations)

Microsoft 365 & Dynamics 365 Integration

Risk Management & Issue Resolution

Technical Stack

Cloud Platforms: Microsoft Azure (App Services, Functions, AI Services, Storage, Networking)

AI/ML: Azure AI Foundry, Azure OpenAI, Cognitive Services

DevOps: Azure DevOps, Git, CI/CD Pipelines

Business Apps: Dynamics 365, Power Platform

Collaboration: Microsoft Teams, SharePoint, OneDrive

Security & Compliance: Microsoft Defender, Purview (aligned environments

Professional Experience

Technical Project Manager โ€“ AI & Cloud Programs ECF Data

Led delivery of AI-powered applications leveraging Azure AI Foundry, enabling scalable enterprise use cases including automation, analytics, and intelligent workflows

Managed end-to-end project lifecycle: requirements, architecture alignment, sprint execution, testing, and deployment

Directed Azure DevOps implementation, including backlog structuring, sprint planning, and CI/CD pipeline orchestration

Coordinated cross-functional teams (engineering, data science, business stakeholders, and executives) to deliver solutions on time and within budget

Designed and executed AI adoption strategies, including pilot programs, user onboarding, and performance measurement frameworks

Implemented change management processes to ensure smooth transition to AI-enabled systems and maximize user adoption

Developed and maintained project plans, risk logs, and executive reporting dashboards

Facilitated stakeholder engagement plans, ensuring alignment across technical and business units

Led training initiatives for clients and internal teams on Azure-based AI solutions and enterprise applications

Ensured compliance with security, governance, and regulatory standards in cloud and AI deployments

Key Achievements

Delivered multiple AI-enabled Azure solutions improving operational efficiency and decision-making

Reduced deployment timelines through DevOps automation and CI/CD pipeline optimization

Successfully led enterprise adoption campaigns for Microsoft cloud and AI technologies

Improved stakeholder alignment through structured communication and reporting frameworks

Project Management Capabilities

Agile / Scrum execution with Azure DevOps Boards

Full lifecycle AI solution delivery

Stakeholder, communication, and training plan development

KPI tracking, reporting, and continuous improvement

Vendor and partner coordination

Education & Certifications (Recommended Additions) (Add if applicable)

PMP, Scrum Master, or Agile Certifications

Microsoft Certifications (Azure AI Engineer, Azure Solutions Architect, DevOps Engineer)

9 Additional Qualifications

7+ years of IT Project Management experience

Strong expertise in Change Management and End User Adoption

Ability to communicate effectively across technical, business, and executive audiences

Experience delivering time-sensitive, high-impact technology initiatives

Positioning Statement Technical Project Manager with a focus on AI-first transformation, combining Azure-native development, DevOps discipline, and business alignment to deliver scalable, secure, and high-impact solutions.

About Us:

ECF Data, LLC has been a leader in data solutions for over a decade, providing exceptional services that empower businesses to harness the power of their data. Our clients love us for our commitment to quality and innovation, while our employees appreciate the collaborative culture and opportunities for professional growth.

This is a remote position.