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Remote Azure Data Factory Jobs (NOW HIRING)

Noblesoft Technologies

SME Azure Data Engineer

Jackson, MS · Remote

$117K - $140K/yr

Jackson, MS 39211 - Remote Duration: 5 years Bachelor's degree required Position Description ... Advanced development and orchestration of data pipelines using Azure Data Factory/Synapse or ...

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 ...

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.

Legrand North America

Azure Data Engineer

$56.25 - $69.75/hr

This is a remote position. Lead the design, development, and optimization of enterprise data ... Azure Data Factory (ADF) * Azure Fabric * Azure SQL Database / Data Warehouse * Strong experience ...

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 ...

CyberCoders

Data Engineer

Philadelphia, PA · Remote

$110K/yr

Data Engineer must have Azure Data Factory, MS Fabric, DBT and T-SQL to apply Location: Philadelphia, PA area, Hybrid preferred but will consider REMOTE for the right candidate with willingness to ...

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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.
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Remote Azure Data Factory jobs near you
Solution Architect - Microsoft Azure Data & Fabric

Solution Architect - Microsoft Azure Data & Fabric

Numentica LLC

Seattle, WA • On-site, Remote

$72.25 - $94.25/hr

Contractor

Re-posted 13 days ago

Job description


We are seeking a highly skilled Solution Architect specializing in Microsoft Azure Data & Microsoft Fabric, with strong working knowledge of Databricks, to design, build, and optimize modern data platforms. This role requires a blend of architecture, engineering, and analytics expertise to deliver scalable, secure, and high-performance data solutions.
The ideal candidate brings deep experience across Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse Analytics, Power BI, andDatabricks, with a proven track record of enabling enterprise data modernization and driving actionable insights.
Key Responsibilities
  • Design and implement end-to-end data architectures using Microsoft Fabric and Azure ecosystem, with integration to Databricks where applicable
  • Build and optimize scalable data pipelines using ADF, Fabric, and Databricks (Spark-based processing)
  • Define and implement Lakehouse architectures across Fabric and/or Databricks environments
  • Collaborate with stakeholders to translate business requirements into scalable data solutions
  • Ensure data governance, security, and performance optimization across platforms
  • Drive best practices in data modeling, data engineering, and analytics enablement
  • Evaluate and recommend when to use Fabric-native vs Databricks-native capabilities

Required Skills & Experience
  • 5+ years of experience in data engineering and data platform development
  • 1+ year of hands-on experience with Microsoft Fabric
  • 3+ years of experience with Azure Data Factory, Azure Synapse Analytics, and Power BI
  • Strong expertise in building data pipelines using ADF, Fabric, and/or Databricks
  • Hands-on experience with Databricks (Spark, Delta Lake, notebooks, job orchestration)
  • Deep understanding of Lakehouse architecture (Fabric OneLake and/or Databricks Lakehouse)
  • Proficiency in SQL, Python, and Spark for large-scale data processing
  • Strong experience with data modeling, ETL/ELT, and enterprise data architecture
  • Experience with Azure Data Lake Storage, Blob Storage, and Azure DevOps
  • Strong analytical and problem-solving skills
  • Excellent communication skills to engage both technical and business stakeholders

Preferred Qualifications
  • Microsoft certifications (Azure Data Engineer, Fabric Analytics Engineer, Power BI Data Analyst)
  • Experience with Unity Catalog, Delta Lake optimization, and data governance frameworks
  • Exposure to Advanced analytics/AI workloads
  • Experience designing hybrid architectures (Fabric + Databricks coexistence)

Apply