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Remote Azure Data Factory Jobs (NOW HIRING)

$68.75 - $92/hr

Remote JD We are seeking a highly skilled and motivated Senior Data Engineer/s to architect and ... and Azure Data Factory. • Build and maintain a metadata-driven Lakehouse architecture with ...

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:

Data Engineer

$117K - $140K/yr

... Azure Data Factory, & Azure Data Lake Storage * Experience in writing complex SQL queries and ... Remote work allowance * Internet reimbursement * Bench pay * Profit share * Healthcare ...

Azure Databricks Architect

$65 - $84.75/hr

Strong knowledge of Azure Data Factory, Azure Storage, Azure Key Vault, Azure Monitor, Azure Entra ... Remote Work Model: Balance your professional and personal life with our flexible working conditions ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Remote option available for candidates outside of surrounding areas. This role requires a highly ... Azure Data Factory or Synapse Pipelines (parameterization, dynamic pipelines, triggers) * Azure ...

Azure Data Engineer

$117K - $140K/yr

Advanced development and orchestration of data pipelines using Azure Data Factory/Synapse or similar cloud based platforms. (pipelines, triggers, integration runtimes, parameterization). * Data ...

Senior Data Engineer

$130K - $160K/yr

Senior Data Engineer Full-Time | Remote | Healthcare An in-person interview is required for this ... Design, build, and maintain ETL/ELT pipelines using Azure Data Factory * Manage end-to-end data ...

Senior Data Engineer

$130K - $160K/hr

Senior Data Engineer Full-Time | Remote | Healthcare An in-person interview is required for this ... Design, build, and maintain ETL/ELT pipelines using Azure Data Factory * Manage end-to-end data ...

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Build and maintain pipelines using Azure Data Factory, Synapse Pipelines, and/or Databricks

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Remote option available for candidates outside of surrounding areas. This role requires a highly ... Azure Data Factory or Synapse Pipelines (parameterization, dynamic pipelines, triggers) * Azure ...

Azure Synapse Architect

$65 - $84.75/hr

... Data Factory (Mapping data flow), Delta/Data Lake, Databricks, Azure SQL data warehouse (Synapse Analytics) * Experience in designing, and developing complex operational data store, transaction ...

Data Engineer

$117K - $140K/yr

* 5+ years of Data engineering experience with a focus on Data Warehousing * 2+ years of experience creating pipelines in Azure Data Factory (ADF) * 5+ years developing ETL using Informatica ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance ... Hands-on experience with SSIS, Azure Data Factory, Azure Databricks, and Snowflake * Proven skills ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and ... Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain data pipelines.

Data Engineer

$117K - $140K/yr

Core skills are Azure Data factory and ODS/ Warehouse development. An insurance background would be preferred. Responsibilities: * Build and maintain a scalable data platform that processes and ...

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Remote Azure Data Factory information

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

As of Jul 13, 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:
Data Engineer/s or architect

Data Engineer/s or architect

Noblesoft Technologies

Remote

$68.75 - $92/hr

Contractor

Re-posted 13 days ago


Job description

Job Role: Senior Data Engineer/s or architect
Location: Remote
 
JD
 
We are seeking a highly skilled and motivated Senior Data Engineer/s to architect and implement scalable ETL and data storage solutions using Microsoft Fabric and the broader Azure technology stack. This role will be pivotal in building a metadata-driven data lake that ingests data from over 100 structured and semi-structured sources, enabling rich insights through canned reports, conversational agents, and analytics dashboards.
Key Responsibilities
• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.
• Build and maintain a metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.
Required Qualifications
• 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies.
Strong expertise in:
o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
o Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
o Power BI and/or other visualization tools
o Azure Functions, Logic Apps, and orchestration frameworks
o SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata-driven architectures and reusable components.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.
Preferred Qualifications
• Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Experience in building multi-tenant data platforms or domain-specific lakes