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Full Time Azure Data Factory Developer Jobs (NOW HIRING)

NAVA Software Solutions

Azure SQL Developer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

Weehawken NJ (Hybrid) Type : Full time / Direct Hire Job Details: * TSQL Programmer and Batch Developer (Using Azure Data Factory and Python Scripting) * Experience in Requirement Analysis, Strategic ...

Futran Tech Solutions Pvt. Ltd.

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Full Time Candidates should good in Python and SQL Top Mandatory Skills: 4 -7 years of hands-on experience in Data Engineering Azure Databricks/Azure Data Factory (primary skillset ) Azure Data Lake ...

Futran Tech Solutions Pvt. Ltd.

Azure Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Dallas, TX / Tulsa, OK ( Onsite & In-Person Interview ) Top Mandatory Skills: 4 -7 years of hands-on experience in Data Engineering Azure Databricks/Azure Data Factory (Primary Skillset) Azure Data ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Duration: FULL TIME (Accepting H1B Transfer ) Location: Atlanta, GA - On-Site ... ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$54.50 - $67.50/hr

* Strong hands-on experience with Azure Data Factory, Databricks and Azure Cloud services * Good knowledge in Blob Storage, ADLS, Azure Logic Apps, Key Vault * Ability to design Azure Data Factory (ADF ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/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 ...

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All JobsFull Time Azure Data Factory Developer Jobs

Full Time Azure Data Factory Developer information

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How much do full time azure data factory developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for full time azure data factory developer 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 does a Full Time Azure Data Factory Developer do?

A Full Time Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration solutions using Microsoft Azure Data Factory. They build and manage data pipelines to extract, transform, and load (ETL) data from various sources into cloud-based data storage or analytics platforms. Their role involves collaborating with data engineers, analysts, and other stakeholders to ensure efficient and reliable data workflows. They also optimize data processes to enhance performance, troubleshoot issues, and ensure security and compliance standards are met.

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

To thrive as a Full Time Azure Data Factory Developer, you need expertise in data integration, ETL processes, SQL, and a strong understanding of Azure cloud services, typically supported by a degree in computer science or a related field. Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data workflows. These competencies ensure secure, efficient, and scalable data solutions that drive business intelligence and analytics initiatives.

What are some common challenges Full Time Azure Data Factory Developers face when integrating data from multiple sources?

Full Time Azure Data Factory Developers often encounter challenges such as handling varying data formats, ensuring data consistency, and managing real-time versus batch data loads when integrating information from multiple sources. Additionally, troubleshooting pipeline failures and optimizing data flows for performance can require strong problem-solving skills. Collaboration with data architects, database administrators, and business analysts is crucial to address these challenges and ensure that data integration processes align with organizational goals.

What is the difference between Full Time Azure Data Factory Developer vs Data Engineer?

AspectFull Time Azure Data Factory DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining data pipelines using Azure Data FactoryBuilding, optimizing, and managing data infrastructure and pipelines across various platforms
Required SkillsAzure Data Factory, SQL, ETL processes, cloud servicesSQL, Python, Spark, cloud platforms, data modeling
CertificationsAzure Data Engineer Associate, Azure certificationsGoogle Cloud, AWS, or Azure certifications, depending on platform
Work EnvironmentCloud-based data projects within organizations using AzureBroader data infrastructure projects across multiple platforms

While both roles involve data pipeline development, the Full Time Azure Data Factory Developer specializes in Azure Data Factory and cloud-based ETL processes, whereas the Data Engineer has a broader scope, working with various tools and platforms to build comprehensive data solutions.

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Full Time Azure Data Factory Developer jobs near you
Infographic showing various Full Time Azure Data Factory Developer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote 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

$50/hr

Full-time

Posted 22 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