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Remote Azure Data Factory Jobs (NOW HIRING)

Apex Informatics

Senior Data Engineer

$108K - $147K/yr

We are seeking a highly skilled and experienced Senior Level Data Engineer with extensive expertise in Azure Synapse and Azure Data Factory to join our team. The ideal candidate will have a deep ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Remote JD: Key Responsibilities * Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory. * Build and maintain a metadata ...

Matrix Global

Azure AI Solution Architect

$65 - $84.75/hr

Data Engineering & Analytics * Design and optimize large-scale ETL/ELT pipelines using Azure Data Factory, Databricks Workflows, and Fabric Data Pipelines. * Implement real-time streaming and event ...

Apex Informatics

Senior Data Engineer

$108K - $147K/yr

Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Synapse Analytics, and other Azure services to integrate and process data from various sources.

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark). * Build and manage API ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Expertise in designing and implementing ETL processes using tools like Azure Data Factory or Azure Databricks. * Knowledge of data integration and transformation techniques. SQL and T-SQL:

RIT Solutions, Inc.

Azure Data Architect (Remote)

$65.25 - $84/hr

... such as Azure Data Factory, Data Lake, and other analytics products. • Strong understanding of AI foundational principles, governance, and how data needs to be ready for AI. • Strong ...

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

As of Aug 3, 2026, the average hourly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Azure Data Factory Engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What is a Remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.
More about Remote Azure Data Factory jobs
What cities are hiring for Remote Azure Data Factory jobs? Cities with the most Remote Azure Data Factory job openings:
What are the most commonly searched types of Azure Data Factory jobs? The most popular types of Azure Data Factory jobs are:
What states have the most Remote Azure Data Factory jobs? States with the most job openings for Remote Azure Data Factory jobs include:
What job categories do people searching Remote Azure Data Factory jobs look for? The top searched job categories for Remote Azure Data Factory jobs are:
Remote Azure Data Factory jobs near you
Infographic showing various Remote Azure Data Factory job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Senior Data Engineer

Apex Informatics

Remote

$108K - $147K/yr

Other

Re-posted 7 days ago

Job description

We are seeking a highly skilled and experienced Senior Level Data Engineer with extensive expertise in Azure Synapse and Azure Data Factory to join our team. The ideal candidate will have a deep understanding of Microsoft Azure and a proven track record of designing, implementing, and maintaining data pipelines and solutions using Azure Synapse and Azure Data Factory. Data Integration experience must include data lake and SQL database hands-on.
Responsibilities:
Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Synapse Analytics, and other Azure services to integrate and process data from various sources.
Collaborate with cross-functional teams to gather requirements and design scalable data solutions that meet business needs.
Optimize data storage, retrieval, and processing in Azure Synapse to ensure optimal performance, efficiency, and cost-effectiveness.
Develop, test, and deploy Azure Logic Apps and Azure Functions to automate data processing tasks and support data analysis and reporting.
Work closely with data scientists and analysts to enable advanced analytics and machine learning capabilities using Azure Synapse Analytics.
Ensure data security, data governance, and compliance with regulatory requirements.
Monitor, troubleshoot, and optimize the performance of Azure Data Factory pipelines and Azure Synapse workloads.
Stay up-to-date with the latest developments in Azure Synapse, Azure Data Factory, and other Azure services to ensure that our data solutions remain current and efficient.
Requirements:
Bachelor's or Master's degree in computer science, Information Systems, or a related field.
At least 10 years of experience in data engineering, with heavy focus on Azure Synapse and Azure Data Factory.
Strong proficiency in SQL, T-SQL, and at least one Object Oriented programming language like Python or C Sharp.
Extensive experience with Azure Synapse Analytics, including data warehousing, data integration, and advanced analytics.
In-depth knowledge of Azure Data Factory, including developing and optimizing data pipelines and ETL processes.
Experience working in an Agile development environment.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Core Technologies:
Azure Synapse Analytics
Azure Data Factory
Azure Data Lake Storage
SQL Server and T-SQL
Python or C Sharp programming languages
Azure Functions and Azure Logic Apps
Azure DevOps
GitHub / GitHub Actions

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