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Remote Azure Data Factory Jobs (NOW HIRING)

Kaav Inc.

MS-Azure Data Engineer

Manhattan, NY · Remote

$60.75 - $75.25/hr

The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design, build ...

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 ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Factory one more of the following, Azure Synapse (DWH), Azure SQL Database, Azure Data Bricks ...

E-Solutions

Azure Data Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

Remote long term contract Key Responsibilities: * Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data ...

ACI Infotech

Data Solutions Architect

Enterprise Data Solution Architect Atlanta, GA(Remote) Full-time role Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud JD: Required Skills & Qualifications:

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 ...

Palnar

Azure Data Architect w/D365 Exp

$65 - $84.75/hr

Remote Role | Based in Chicago, IL Duration Long Term Contract , * Minimum 10 years of experience ... Experience with data warehousing solutions and ETL tools like Azure data Factory. * In depth ...

Hexion Careers

Senior Azure Data & Platform Engineer

OH · Remote

$65 - $84.75/hr

The role is centered on Azure Data Factory, Azure Logic Apps, and Databricks as well as other adjacent Azure data services to deliver governed, reliable, and maintainable pipelines. You will work ...

Hexion, Inc.

Senior Azure Data & Platform Engineer

OH · On-site +1

$53 - $69/hr

The role is centered on Azure Data Factory, Azure Logic Apps, and Databricks as well as other adjacent Azure data services to deliver governed, reliable, and maintainable pipelines. You will work ...

1872 Consulting

Azure Data Architect (Dalas)

Dallas, TX · Remote

$145K - $150K/yr

The environment is remote-first, collaborative, and emphasizes hands-on technical excellence within ... Azure Synapse, Databricks, Data Factory, Data Lake, Event Hubs, Cosmos DB. • Strong background in ...

HonorVet Technologies

Data Engineer

Bentonville, AR · Remote

$97.50K - $117K/yr

Remote Role Job Summary We are seeking a highly skilled Azure Data Engineer with deep expertise in Azure Databricks , Azure Data Factory , and ETL automation . The ideal candidate will have extensive ...

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

As of Jun 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 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.

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.

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 May 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Azure Data & Development Architect

Azure Data & Development Architect

SunStone Consulting LLC

Harrisburg, PA • Remote

$65 - $84.75/hr

Full-time

Posted 3 days ago

Job description

SunStone is seeking an experienced technical leader to design, build, and operationalize end‑to‑end data solutions on Microsoft Azure while also delivering hands‑on development and automation across the Microsoft Power Platform and scripting ecosystems. This role blends cloud data architecture, data engineering, application development, and automation to enable real‑time analytics and reduce manual effort across multiple service lines.

Key Responsibilities

  • Design and deliver Azure data architecture: Lead the design and deployment of scalable, secure, and cost‑efficient data pipelines and analytics platforms on Azure (Data Factory, Synapse, Databricks, Event Hubs, Stream Analytics, Blob/ADLS).
  • Build data engineering solutions: Implement ETL/ELT pipelines, data models, and SQL‑based workflows to support operational systems and strategic analytics.
  • Power Platform development: Architect and develop Power Apps, Power Automate flows, and Power BI integrations to streamline business processes and surface analytics.
  • Automation and integration: Create robust PowerShell solutions and API integrations for cloud orchestration, administrative automation, and system-to-system connectivity.
  • Application development: Develop Python applications for web scraping, data ingestion, data science prototypes, and custom business tools.
  • Process optimization: Automate repetitive tasks using VBA and Python to reduce manual effort and improve accuracy.
  • Governance and best practices: Define and enforce data governance, security, monitoring, and CI/CD practices for data and automation pipelines.
  • Cross‑functional leadership: Collaborate with service line leaders, data engineers, analysts, and IT operations to translate business needs into technical solutions and mentor engineering teams.
  • Operational excellence: Establish observability, alerting, and runbooks for production data systems and automation workflows.

Required Qualifications

  • Experience: 5+ years in data engineering, cloud architecture, or software development with at least 3 years focused on Microsoft Azure data services.
  • Cloud skills: Hands‑on experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, ADLS/Blob Storage, and Azure networking/security patterns.
  • Data engineering: Strong SQL expertise and experience designing ETL/ELT pipelines, data modeling, and performance tuning.
  • Power Platform: Proven experience building Power Apps, Power Automate flows, and integrating Power Platform with Azure services.
  • Scripting and automation: Advanced PowerShell skills for automation and API integration; experience with CI/CD for infrastructure and code.
  • Programming: Proficient in Python for application development, data processing, and automation.
  • Process automation: Experience using VBA or Python to automate business workflows and reporting.
  • Soft skills: Strong communication, stakeholder management, and ability to lead technical design discussions and mentor engineers.

Preferred Qualifications

  • Azure certifications such as Azure Solutions Architect, Azure Data Engineer, or Power Platform Developer.
  • Familiarity with Databricks, Spark, or other big‑data processing frameworks.
  • Knowledge of data governance frameworks, metadata management, and data catalog tools.
  • Knowledge of the healthcare industry/data

Tools and Technologies

  • Cloud: Azure Data Factory, Azure Synapse, Azure Databricks, Event Hubs, ADLS/Blob Storage, Azure Functions.
  • Power Platform: Power Apps, Power Automate, Power BI.
  • Languages: SQL, Python, PowerShell, VBA.
  • DevOps: Git, Azure DevOps or GitHub Actions, CI/CD pipelines.
  • Monitoring: Azure Monitor, Log Analytics, Application Insights.


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