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Azure Data Factory Jobs in Phoenix, AZ (NOW HIRING)

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Design, build, and maintain ETL/ELT pipelines using Azure Data Factory and related tools. * Architect and manage data lake and data warehouse solutions. * Transform and move data across relational ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

... as Azure Data Factory, Azure Synapse, and/or Azure Data Lake • Implement and enforce medallion architecture (bronze, silver, gold) for structured data refinement and consumption • Transform raw ...

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

Build and manage data integration processes using tools such as Azure Data Factory, Azure Synapse, and/or Azure Data Lake * Implement and enforce medallion architecture (bronze, silver, gold) for ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Build and manage data integration processes using tools such as Azure Data Factory, Azure Synapse, and/or Azure Data Lake * Implement and enforce medallion architecture (bronze, silver, gold) for ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python. * Develop SQL queries, stored procedures, views, and database objects to support enterprise ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python. * Develop SQL queries, stored procedures, views, and database objects to support enterprise ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python. * Develop SQL queries, stored procedures, views, and database objects to support enterprise ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python. * Develop SQL queries, stored procedures, views, and database objects to support enterprise ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

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Azure Data Factory information

See Phoenix, AZ salary details

$10

$57

$79

How much do azure data factory jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for azure data factory in Phoenix, AZ is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $65.14 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 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.

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 most commonly searched types of Azure Data Factory jobs in Phoenix, AZ? The most popular types of Azure Data Factory jobs in Phoenix, AZ are:
What are popular job titles related to Azure Data Factory jobs in Phoenix, AZ? For Azure Data Factory jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Azure Data Factory jobs in Phoenix, AZ look for? The top searched job categories for Azure Data Factory jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Azure Data Factory jobs? Cities near Phoenix, AZ with the most Azure Data Factory job openings:
Infographic showing various Azure Data Factory job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,615 per year, or $58 per hour.

Azure Data Engineer with Azure event hub

Texas State Library and Archives Commision

Phoenix, AZ • On-site

$54.50 - $67.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

• 9 - 10 years of experience in Azure Data Factory, Databricks, dbt. • Proven development experience in building complex data pipeline for lakehouse/data warehouses using Agile methodology. • ADF, Databricks, dbt, Azure Cloud Services, MS SQL Server ADW/DB, Python, Pyspark, Devops. • Should have thorough understanding of Data-lakes, raw/enriched/curated layer concepts and ETL within Azure framework. • Highly skilled in end-to-end Data warehousing and BI (analytics) design / development. • Create Design, Functional/Technical specification documentations or any artifacts needed