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Azure Adf Jobs (NOW HIRING)

PeerIslands US Inc

Principal Software Engineer

Southlake, TX · On-site +1

$127K - $170K/yr

Design and build data engineering pipelines and Data Lake solutions using Databricks (Spark with Scala), Azure ADF, and Delta Lake for analytical and machine learning use cases. Architect and develop ...

1 point system

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 ...

Damco Solutions

GenAI Architect

Mount Laurel, NJ · On-site

LlamaIndex; or similar frameworks. • Knowledge of multimodal AI (vision + language models). • Hands-on data experience on Cloud Technologies on Azure; ADF; Synapse; Pyspark/Python. • Ability to ...

Anblicks

Databricks Architect

Dallas, TX · On-site

$64.25 - $84.50/hr

Azure (ADF, ADLS, Synapse) OR * AWS (S3, Glue, EMR) OR Data Engineering Concepts * Data warehousing and data lake solutions * Batch & real-time data processing * Data governance and security ...

STAFFXPERT LLC

Azure Data Engineer

Charlotte, NC · On-site

$53.75 - $66.75/hr

Develop and manage Azure Data Factory (ADF) workflows and Azure Data Lake Gen2 solutions. * Work with Azure Databricks, Azure Functions, and Azure databases to support data engineering initiatives.

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Azure ADF information

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How much do azure adf jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for azure adf 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 Azure ADF?

Azure ADF, or Azure Data Factory, is a cloud-based data integration service provided by Microsoft Azure. It allows you to create, schedule, and orchestrate data workflows and pipelines to move and transform data from various sources to data storage solutions or analytics platforms. Azure ADF supports data movement between on-premises and cloud data sources and provides rich data transformation capabilities using data flows or by integrating with other Azure services. It is commonly used for ETL (Extract, Transform, Load) processes, data migration, and data integration scenarios.

What is the difference between Azure Adf vs Azure Data Engineer?

AspectAzure AdfAzure Data Engineer
CertificationsAzure Data Factory certifications, Azure certificationsAzure Data Engineer certifications, Azure certifications
Work EnvironmentCloud data integration and orchestration platformDesigning, building, and maintaining data pipelines in cloud and on-premises environments
Employer & Industry UsageUsed by organizations implementing cloud data workflowsUsed by companies managing large-scale data solutions and analytics

Azure Adf focuses on data integration and workflow automation using Azure Data Factory, while Azure Data Engineer handles designing and maintaining data pipelines across various platforms. Both roles require Azure certifications and are integral to cloud data management, but Azure Adf is more specialized in orchestration, whereas Azure Data Engineer covers broader data engineering tasks.

What are some common challenges faced by Azure Data Factory (ADF) developers during data pipeline implementation?

Azure Data Factory developers often encounter challenges such as managing complex data transformations, optimizing pipeline performance, and handling data integration across diverse sources. Debugging and monitoring pipeline failures can also be demanding, especially in large-scale, automated workflows. Collaborating with data engineers, data analysts, and cloud architects is essential to ensure smooth deployment and continuous improvement of data solutions. Staying up-to-date with ADF's evolving features and best practices can help overcome many of these challenges.

What are the key skills and qualifications needed to thrive as an Azure Data Factory (ADF) developer, and why are they important?

To thrive as an Azure Data Factory Developer, you need strong skills in data integration, ETL (Extract, Transform, Load) processes, and cloud data warehousing, often supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure SQL Database, and related tools such as Azure Data Lake, along with certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with teams and stakeholders. These skills ensure seamless data pipeline development, efficient data management, and the successful delivery of cloud-based data solutions.
More about Azure ADF jobs
What states have the most Azure Adf jobs? States with the most job openings for Azure Adf jobs include:
What job categories do people searching Azure Adf jobs look for? The top searched job categories for Azure Adf jobs are:
Azure ADF jobs near you
Infographic showing various Azure Adf job openings in the United States as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person 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

Re-posted 8 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