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Remote Azure Data Factory Jobs (NOW HIRING)

Azure Data Engineer

$117.20K - $140.70K/yr

Remote We are seeking an experienced Azure Data Engineer to design, build, and maintain scalable ... Azure Data Factory, Azure Synapse/SQL, Data Pipelines, ETL/ELT, SQL, Data Modeling, Cloud Data ...

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117.20K - $140.70K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Azure Data Engineer

$117.20K - $140.70K/yr

Azure Data Engineer Associate (or higher), Azure Data Factory, Job Summary: We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory , Azure Databricks , Oracle , and ...

Azure Data Engineer

$117.20K - $140.70K/yr

Remote Responsibilities: Designing cloud solutions, selecting appropriate Azure services, and ... Azure Databricks Azure Data Factory Pyspark Git Secondary Skills: Python Excellent problem-solving ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113.50K - $136.30K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Factory one more of the following, Azure Synapse (DWH), Azure SQL Database, Azure Data Bricks ...

Azure Data Technical Lead

$65 - $84.75/hr

Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure Databricks, and Azure SQL Database. • Data Architecture: Strong understanding of data modelling, ETL processes, data warehousing ...

Enterprise Data Solution Architect Atlanta, GA(Remote) Full-time role Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud JD: Required Skills & Qualifications:

Data Engineer (Azure / Spark)

New York, NY · Remote

$56.25 - $69.75/hr

Azure Data Factory (ADF): Hands-on experience building and orchestrating ETL pipelines. * HDInsight: Deploying and managing Hadoop/Spark clusters for large-scale analytics. * Azure Data Lake Storage ...

Azure Data Architect w/D365 Exp

$65 - $84.75/hr

Remote Role | Based in Chicago, IL Duration Long Term Contract , * Minimum 10 years of experience ... Experience with data warehousing solutions and ETL tools like Azure data Factory. * In depth ...

Senior Azure Data & Platform Engineer

OH · Remote

$65 - $84.75/hr

The role is centered on Azure Data Factory, Azure Logic Apps, and Databricks as well as other adjacent Azure data services to deliver governed, reliable, and maintainable pipelines. You will work ...

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Remote Azure Data Factory information

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$11

$58

$79

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

As of May 31, 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 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 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 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:
Infographic showing various Remote Azure Data Factory job openings in the United States as of May 2026, with employment types broken down into 48% Full Time, 5% Temporary, and 47% Contract. Highlights an 97% Physical, and 3% Hybrid job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure data factory developer with Snowflake exp

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Frisco, TX • Remote

$50/hr

Full-time

Posted 28 days ago


Job description

6+ years of ADF data flows/Snowflake. if you just worked on ADF pipelines, this is not for you.
An Azure Data Factory (ADF) Integration Developer is responsible for building, maintaining, and optimizing data pipelines and integration solutions using Microsoft Azure Data Factory. This role is key in data engineering and ETL (Extract, Transform, Load) processes in a cloud-based environment.
Key Responsibilities:
  1. Design and Develop Data Pipelines

    • Build end-to-end data workflows using ADF (v2) for batch and real-time data processing.
    • Create and manage Linked Services, Datasets, Pipelines, Activities, and Triggers.
  2. Data Integration

    • Integrate data from multiple sources like SQL Server, Azure Blob Storage, Azure Synapse, REST APIs, SAP, Salesforce, etc.
    • Handle structured and unstructured data using Data Flows, Mapping Data Flows, or custom transformations.
  3. ETL/ELT Development

    • Implement data transformations using Azure Data Flows, Stored Procedures, or Azure Functions.
    • Optimize performance and cost using best practices.
  4. Monitoring and Troubleshooting

    • Set up pipeline monitoring, alerts, and logs using ADF Monitoring and Azure Monitor.
    • Debug failures and optimize pipeline performance.
  5. CI/CD and DevOps

    • Use Azure DevOps or Git integration for version control, build, and release pipelines.
    • Implement ARM templates for infrastructure as code (IaC).
  6. Security and Governance

    • Manage access through Azure RBAC, Key Vault, and Managed Identity.
    • Ensure compliance and data security standards.
  7. Collaboration

    • Work closely with Data Architects, Business Analysts, and BI developers.
    • Translate business requirements into technical solutions.
Required Skills and Technologies:
  • Azure Data Factory

  • Azure Synapse Analytics, Azure SQL


This is a remote position.