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Azure Data Factory Jobs in Dallas, TX (NOW HIRING)

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Factory. · Build simple to complex pipelines, activities, Datasets & data flows · Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to ...

Tror AI for everyone

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Design and implement data pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics. * Develop and optimize ETL/ELT processes for structured and semi-structured data. * Build and manage ...

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure ...

Noblesoft Technologies

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience with Azure Data Factory * Experience with PySpark * Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing) * Experience working within Retail ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role involves designing, developing, and maintaining scalable data pipelines utilizing Azure Data Factory (ADF), Databricks, and Snowflake to support enterprise data and analytics initiatives.

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions CI/CD: GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos ...

Wissen Infotech

Azure Data Engineer Lead

Dallas, TX · On-site

$101K - $134K/yr

The Azure Data Engineer Lead will be responsible for designing and setting up Azure Data Factory (ADF) and Microsoft Fabric for data pipelines, Lakehouse, and Warehouse. They will work with PySpark ...

Flowserve

Data Engineer MS Fabric

Irving, TX · On-site

$109K - $132K/yr

The ideal candidate will have experience with Azure Data Factory, notebooks, Spark/PySpark, and building scalable data pipelines that support analytics and business reporting needs. Responsibilities

Flowserve

Data Engineer MS Fabric

Irving, TX · On-site

$109K - $132K/yr

The ideal candidate will have experience with Azure Data Factory, notebooks, Spark/PySpark, and building scalable data pipelines that support analytics and business reporting needs. Responsibilities

1872 Consulting

Azure Data Architect (Dalas)

Dallas, TX · On-site

$63 - $81.25/hr

Azure Synapse, Databricks, Data Factory, Data Lake, Event Hubs, Cosmos DB. • Strong background in data modeling (conceptual, logical, and physical) • Advanced SQL proficiency • Architecting ...

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How much do azure data factory jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for azure data factory in Dallas, TX is $57.77, according to ZipRecruiter salary data. Most workers in this role earn between $52.31 and $64.90 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

What are the most commonly searched types of Azure Data Factory jobs in Dallas, TX?

The most popular types of Azure Data Factory jobs in Dallas, TX are:

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For Azure Data Factory jobs in Dallas, TX, the most frequently searched job titles are:

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The top searched job categories for Azure Data Factory jobs in Dallas, TX are:

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Cities near Dallas, TX with the most Azure Data Factory job openings:

Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Dallas, TX 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 $120,168 per year, or $57.8 per hour.

Azure data factory developer with Snowflake exp

Frisco, TX

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC
See more jobs at CLOUDSCOUTS SOFTWARE SOLUTIONS LLCexternal

$50/hr

Full-time

Re-posted 25 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