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Azure Data Factory Developer Jobs (NOW HIRING)

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 ...

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Design and implement end-to-end data pipelines using Azure Data Factory, Synapse Analytics, Azure Databricks, and other Azure services. * Develop CI/CD pipelines for data workflows using Azure DevOps ...

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 ...

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 ...

Azure Data Engineer-Texas

Richmond, VA · On-site

$113K - $136K/yr

Azure Data Factory (ADF) * Azure Databricks * PySpark * Python * SQL * DBT (Data Build Tool) * Snowflake * Azure Data Lake * Azure Blob Storage * Azure DevOps * Data Pipeline Development * Cloud Data ...

New

Azure Data Architect

Boston, MA · On-site

$69 - $90/hr

... Azure Data Factory and CI/CD tools Strong knowledge of SQL and experience with programming languages such as Python Why is This a Great Opportunity This is a BRAND NEW position in the company ...

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 ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in ...

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Azure Data Factory Developer information

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

As of Jun 20, 2026, the average hourly pay for 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 is an Azure Data Factory Developer job?

An Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration pipelines using Azure Data Factory. They work with various data sources to extract, transform, and load (ETL) data into cloud-based storage or databases. Their role involves optimizing data workflows, ensuring data accuracy, and troubleshooting performance issues. They collaborate with data engineers, analysts, and business stakeholders to support data-driven decision-making and automation.

What are the most common daily tasks and responsibilities for an Azure Data Factory Developer?

As an Azure Data Factory Developer, your typical day involves designing, developing, and managing data pipelines and workflows to support business data needs. You will work closely with Data Engineers, BI Developers, and business analysts to gather requirements, troubleshoot issues, and ensure data accuracy and reliability. Additional tasks include performance tuning, scheduling data jobs, monitoring data processes, and implementing data security best practices. This collaborative and dynamic role is essential for ensuring that accurate and timely data is available across the organization, supporting decision-making and business analysis.

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

To thrive as an Azure Data Factory Developer, you need strong expertise in ETL processes, data integration, and a solid grounding in SQL and cloud data platforms, typically supported by a degree in computer science or a related field. Familiarity with Azure services, especially Data Factory, Azure SQL Database, Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly beneficial. Excellent problem-solving skills, collaboration, and clear communication set top performers apart in this field. These skills and qualifications enable developers to efficiently build, maintain, and optimize data pipelines that are critical to the organization's data strategy.

What cities are hiring for Azure Data Factory Developer jobs? Cities with the most Azure Data Factory Developer job openings:
What are the most commonly searched types of Azure Data Factory Developer jobs? The most popular types of Azure Data Factory Developer jobs are:
What states have the most Azure Data Factory Developer jobs? States with the most job openings for Azure Data Factory Developer jobs include:
Infographic showing various Azure Data Factory Developer job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 80% Full Time, 2% Part Time, 13% Contract, and 4% Nights. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure Data Engineer

Futran Tech Solutions Pvt. Ltd.

Manhattan, NY • On-site, Remote

$126K - $151K/yr

Full-time

Posted 4 days ago


Job description

Azure Data Engineer
New York, NY 10017
Azure Cloud Expertise:
  • Design, implement, and optimize data solutions on the Azure cloud platform, ensuring scalability, security, and performance.

Azure Data Factory and Databricks:
  • Develop and maintain data pipelines using Azure Data Factory for efficient and reliable data movement.
  • Leverage Azure Databricks for analytics and data exploration

SQL and DBT:
  • Design and optimize SQL-based queries for data extraction, transformation, and loading processes.
  • Implement and manage DBT (Data Build Tool) workflows to transform raw data into meaningful insights, ensuring data quality and consistency.

Data Architecture and Modeling:
  • Collaborate with data architects to design and implement scalable and maintainable data models.
  • Ensure adherence to data governance and compliance standards in data modeling and architecture.

Performance Optimization:
  • Identify and address performance bottlenecks in data pipelines and database queries.
  • Implement strategies to optimize data processing and reduce latency in data delivery.

Collaboration and Documentation:
  • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.
  • Document data engineering processes, data flows, and architecture to facilitate knowledge transfer and ensure maintainability.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer with a focus on Azure cloud technologies.
  • Strong proficiency in Azure Data Factory, Azure Databricks, SQL, and DBT.
  • 10+ years in the data and analytics space with experience in designing and implementing scalable and robust data architectures.
  • Excellent problem-solving skills and the ability to troubleshoot complex data issues.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.
  • Relevant certifications in Azure cloud technologies are a plus.
  • Nice to have:
    • Python
    • (Re)Insurance industry experience