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Azure Data Factory Jobs (NOW HIRING)

NAVA Software Solutions

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Strong exp in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project stakeholders ...

Centstone

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Define and implement data ingestion pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, and related services. * Design scalable and secure data models for clinical, claims, EMR/EHR ...

Sarian, Inc.

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 ...

Scadea

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF). · Big Data Processing: Build high-performance, distributed data transformation workloads via Azure Databricks and ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in Visualisation like Power BI * Implement end-to-end data pipelines using Cosmos Azure Data Factory

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 ...

Futran Tech Solutions Pvt. Ltd.

Azure Data Engineer

$117K - $140K/yr

Azure Databricks Azure Data Factory Pyspark Git Secondary Skills: Python Excellent problem-solving skills and attention to detail Strong communication and collaboration skills

NAVA Software Solutions

Azure Data Lead

Clearwater, FL · On-site

Expertise and hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Expertise in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project ...

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 ...

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Azure Data Factory information

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How much do azure data factory jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for 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 is an Azure Data Factory job?

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.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a highly in-demand data integration tool used by organizations to automate data workflows and manage data pipelines in cloud environments. Professionals with skills in Azure Data Factory, along with knowledge of cloud platforms and data engineering, are sought after as companies increasingly adopt cloud-based data solutions.

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 ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that with hands-on practice and official documentation, mastering ADF is achievable.

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 is the salary in Azure Data Factory?

The salary for an Azure Data Factory professional varies based on experience, location, and role level, but typically ranges from $80,000 to $130,000 annually. Skilled professionals with certifications in Azure and data integration tools tend to earn higher salaries in this field.
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Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Azure Data Engineer

Azure Data Engineer

NAVA Software Solutions

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

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

Job description

NAVA Software solutions is looking for a Azure Data Engineer
Details:
Position: Azure Data Engineer
Location: Atlanta GA - Hybrid / / Remote also ok
Duration: 12 months
Responsibilities
  • Strong exp in Azure Data Analytics having a thorough understanding of Azure Data Platform tools.
  • Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps.
  • Strong exp in SQL Server DB, SQL Server Data Warehouse.
  • Collaborate with project stakeholders like database administrators, technical architects, business analysts, and product owners to determine project needs and plan development and implementation strategies.
  • To create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects.
  • To design, develop and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics and provide solutions for Enterprise level Applications utilizing Azure Data Platform.
  • Work on streamlining data flows and data models consistently.
  • Have a keen focus on improving and tuning data quality, accessibility, performance, and security needs.

Skills Required
  • Proficient in the tools: Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL DB, MS-SQL
  • Create conceptual, logical, and physical data models for both relational and dimensional solutions.
  • Effectively managing large sets of data for performance, security, and data governance viewpoint.
  • Deep knowledge of a wide variety of database systems and data mining techniques.
  • Experience to build and test physical data models for a variety of use cases meeting performance and efficiency goals.
  • Excellent in Logical and Physical Data Modelling using data modeling tools like Erwin, Enterprise Architect, etc.
  • Experience in Azure Functions.
  • Experience with implementing metadata-driven dynamic Azure pipelines is a plus.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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