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Remote Azure Data Factory Jobs (NOW HIRING)

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 ...

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:

Noblesoft Technologies

$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 ...

Bitful Consulting

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 ...

Opinov8

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 ...

Surgery Partners

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 ...

Lorven Technologies

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 ...

Robert Half

Data Engineer

Nashville, TN · Remote

$120K - $130K/yr

We are looking for a fully remote Data Engineer to support and enhance a modern data environment ... Azure Data Factory where needed. • Contribute to reporting and visualization readiness by ...

New

Constitution Surgery Alliance

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 ...

MSR Technology Group

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

Apex Informatics

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 ...

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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 Jun 21, 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 June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Azure Data Engineer

Azure Data Engineer

Legrand North America

Remote

$56.25 - $69.75/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Position Description
At a Glance
Legrand has an exciting opportunity for an Azure Data Engineer to join our Information Technology Team. This is a remote position.
Lead the design, development, and optimization of enterprise data platforms on Azure. This role will be instrumental in advancing our data modernization strategy, including Azure Fabric adoption, data lakehouse architecture, and integration of enterprise systems such as ERP, MDM, and analytics platforms.
This role will work closely with business, analytics, and governance teams to deliver scalable, high-performance data solutions that enable trusted, data-driven decision-making.
What Will You Do?
  • Design and implement scalable data platforms using Azure (ADLS, Azure SQL, Microsoft Fabric).
  • Build and optimize ETL/ELT pipelines using Fabric pipelines, notebooks (PySpark/Spark SQL), and Azure Integration Services (ADF, Logic Apps, Event Grid, Service Bus).
  • Implement Medallion Architecture (Bronze, Silver, Gold) and Lakehouse design patterns.
  • Develop and maintain data models (dimensional, star/snowflake where applicable).
  • Integrate data from heterogeneous sources (ERP, APIs, flat files, streaming sources, MDM/PIM systems).
  • Develop data processing solutions for large-scale structured and unstructured datasets.
  • Enable Power BI datasets and semantic models to support reporting and analytics.
  • Implement CI/CD pipelines and DevOps practices using Azure DevOps, GitHub, Repo.
  • Ensure data quality, governance, lineage, and security using tools such as Microsoft Purview.
  • Collaborate with Product Owners, Scrum Masters, and stakeholders to translate business requirements into technical solutions.
  • Lead performance tuning, optimization, and troubleshooting of data pipelines and queries.
  • Leading cloud migration and modernization initiatives, including legacy system transitions (SSIS, Tabular, Multidimensional cubes).
  • Drive adoption of modern data architecture principles and best practices.
  • Collaborate with team members and contribute to establishing engineering standards and reusable frameworks.
  • Provide ongoing production support and operational maintenance, including monitoring data pipelines, troubleshooting issues, optimizing performance, and ensuring data reliability and availability across the platform.
  • Ability to manage multiple priorities effectively.
  • Support data team in the IT systems impact assessment when there is a data change requests.

Qualifications
  • Experience with Data management systems and processes:
    • 8+ years of experience in data engineering, data warehousing, and analytics
    • 6+ years of experience in cloud transformation initiatives
    • 5+ years hands-on experience with Microsoft Azure data platform
    • 3+ years hands-on experience with Azure Fabric / lakehouse architecture
  • Azure Data Platform:
    • Azure Data Lake Storage (ADLS Gen2)
    • Azure Data Factory (ADF)
    • Azure Fabric
    • Azure SQL Database / Data Warehouse
  • Strong experience with Azure Integration Services:
    • Logic Apps, Function Apps, Service Bus, Event Grid, API Management
  • Programming:
    • PySpark, Spark SQL, Python, SQL
    • Notebook-based development (Databricks / Fabric)
    • Infrastructure-as-code (Terraform, ARM templates, Bicep)
  • Data Architecture:
    • Medallion architecture
    • Lakehouse concepts
    • 3NF, Data warehouse, Dimensional modeling
  • Integration:
    • REST APIs, JSON, XML, OData, event-driven architectures
  • DevOps:
    • Azure DevOps (ADO), GitHub, Jenkins
    • CI/CD pipelines, version control, automation
  • Reporting:
    • Power BI, Semantic Models
  • MSBI (Preferred):
    • Microsoft BI Stack - SSIS, SSRS, SSAS
  • Soft Skills:
    • Strong communication and ability to engage with business and technical stakeholders
    • Ability to translate business requirements into scalable technical solutions
    • Strong analytical and problem-solving skills
    • Experience working in Agile/Scrum environments
    • Proactive and adaptable, with the ability to deliver results in evolving environments
      with a "get it done" mindset in fast-paced environments
    • Proven ability to collaborate across cross-functional teams
    • Demonstrates excellent interpersonal skills with a balanced, collaborative communication style
    • Experience with 3rd party development partners

Education:
  • Bachelor's degree required, preferably in technical discipline
  • Prefer Microsoft certifications in Azure or Fabric
  • Prefer Prior experience in manufacturing, supply chain, or distribution domains

Company Info
About Legrand
Legrand is the global specialist in electrical and digital building infrastructures. Our comprehensive offering of solutions for residential, commercial, and data center markets makes us a benchmark for customers worldwide. We harness technological and societal trends with lasting impacts on buildings with the purpose of improving life by transforming the spaces where people live, work, and meet with electrical and digital infrastructures and connected solutions that are simple, innovative, and sustainable. Legrand is a global, publicly traded company listed on the Euronext (Legrand SA EPA: LR). For more information, visit www.legrandgroup.com/en
About Legrand North and Central America
Legrand, North & Central America (LNCA) is a leader in the AV, Lighting & Controls, Electrical, and Data Center markets. LNCA offers comprehensive medical, dental, and vision coverage, as well as distinctive benefits like a high employer 401K match, paid time off (PTO) and holiday pay, short-term and long-term disability benefit plans, above-benchmark paid maternity and parental leave, bonus opportunities in accordance with the Company's incentive plans, paid time off to volunteer, and an active/growing Employee Resource Group network. For more information, visit legrand.us
http://www.legrand.us
http://www.youtube.com/legrandna
http://www.linkedin.com/company/44580
http://twitter.com/legrandNA
Equal Opportunity Employer

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