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Remote Azure Data Factory Jobs (NOW HIRING)

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Remote JD: Key Responsibilities * Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory. * Build and maintain a metadata ...

Apex Informatics

Senior Data Engineer

$108K - $147K/yr

Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Synapse Analytics, and other Azure services to integrate and process data from various sources.

Jobgether

$88K - $106K/yr

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale ... You will work extensively with Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · Remote

$120K - $125K/hr

Azure Data Factory * Databricks Notebooks * Data Pipelines * Infrastructure Components * Platform Services * Establish deployment standards and environment promotion processes across Development, QA, ...

New

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark). * Build and manage API ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Expertise in designing and implementing ETL processes using tools like Azure Data Factory or Azure Databricks. * Knowledge of data integration and transformation techniques. SQL and T-SQL:

Noblesoft Technologies

$68.75 - $92/hr

Remote JD We are seeking a highly skilled and motivated Senior Data Engineer/s to architect and ... warehouse, sql) and Azure Data Factory. * Build and maintain a metadata-driven Lakehouse ...

Bitful Consulting

Data Engineer

$117K - $140K/yr

... Azure Data Factory, & Azure Data Lake Storage * Experience in writing complex SQL queries and ... Remote work allowance * Internet reimbursement * Bench pay * Profit share * Healthcare ...

RIT Solutions, Inc.

Azure Data Architect (Remote)

$65.25 - $84/hr

... such as Azure Data Factory, Data Lake, and other analytics products. • Strong understanding of AI foundational principles, governance, and how data needs to be ready for AI. • Strong ...

Centstone

Database Architect

Minneapolis, MN · Remote

$65.25 - $84/hr

Minnesota (Remote/Hybrid) Experiance : 8+ years We are seeking an experienced Azure Database ... Utilize Azure Data Factory, Azure Monitor, Azure CLI/PowerShell, SQL Analytics, and Query ...

Apex Informatics

Data Engineer

$117K - $140K/yr

* 5+ years of Data engineering experience with a focus on Data Warehousing * 2+ years of experience creating pipelines in Azure Data Factory (ADF) * 5+ years developing ETL using Informatica ...

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Remote Azure Data Factory information

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How much do remote azure data factory jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote azure data factory in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

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 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 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 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.

More about Remote Azure Data Factory jobs

What cities are hiring for Remote Azure Data Factory jobs?

Cities with the most Remote Azure Data Factory job openings:

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

The most popular types of Azure Data Factory jobs are:

What states have the most Remote Azure Data Factory jobs?

States with the most job openings for Remote Azure Data Factory jobs include:

What job categories do people searching Remote Azure Data Factory jobs look for?

The top searched job categories for Remote Azure Data Factory jobs are:

Remote Azure Data Factory jobs near you
Infographic showing various Remote Azure Data Factory job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Senior Azure Integration Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

VetsEZ is currently looking for a Senior Azure Integration Engineer for a 100% remote position supporting a large federal government healthcare modernization project. This role will lead the design, development, and implementation of the Next Generation Toxic Exposure Risk Activity (TERA) Automated Gateway (TAG) platform for the Department of Veterans Affairs (VA). The Technical Lead will provide hands-on leadership for Azure-based cloud integration, enterprise data pipelines, and secure interoperability with Department of Defense (DoD) systems while collaborating with cross-functional teams throughout the software development lifecycle.

The ideal candidate will work closely with Data Scientists, Solutions Analysts, Architects, Product Owners, and customer stakeholders to design scalable cloud-native solutions using Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and modern DevSecOps practices. This position requires strong technical leadership, deep Azure expertise, and experience building enterprise integration solutions in highly regulated environments.

The candidate must reside within the continental US.

Responsibilities

  • Serve as the technical lead for Azure integration and cloud engineering activities, providing architectural guidance and technical oversight.
  • Design, develop, and maintain Azure Data Factory pipelines, Azure Databricks solutions, and Azure Data Lake Storage Gen2 environments for enterprise-scale data ingestion and transformation.
  • Develop secure REST API integrations with the DoD ILER platform and other enterprise systems, ensuring resiliency, scalability, and operational excellence.
  • Establish engineering standards, coding practices, and design patterns while mentoring developers through code reviews and technical guidance.
  • Collaborate with DevSecOps teams to implement CI/CD pipelines, infrastructure automation, monitoring, logging, alerting, and production readiness activities.
  • Produce technical documentation, implementation guides, architecture artifacts, and present technical solutions to leadership and VA stakeholders.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent experience, with 10+ years of software engineering or data engineering experience.
  • 5+ years of experience designing and implementing Microsoft Azure cloud solutions, including Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2.
  • Strong experience developing enterprise integration solutions using REST APIs, cloud-native services, ETL/ELT architectures, and large-scale data pipelines.
  • Expertise with Python, PySpark, SQL, JSON, Git, Azure DevOps, and Azure Monitor.
  • Excellent analytical, problem-solving, and communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Demonstrated experience leading engineering teams or serving as a technical lead on enterprise software projects, with the ability to collaborate effectively across cross-functional teams.

Additional Qualifications

  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal agencies.
  • Microsoft Azure certifications such as Azure Developer Associate, Azure Solutions Architect Expert, or Azure Data Engineer Associate are highly desirable.
  • Experience with Azure API Management, Azure Functions, Event Grid, Event Hubs, Service Bus, healthcare or military systems integration, and knowledge of NIST, FISMA, FedRAMP, and secure cloud architecture principles.

Security Clearance Requirements

  • U.S. Citizenship is required.
  • All selected candidates must successfully complete a background check.
  • Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Benefits

  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME

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