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Remote Azure Data Factory Jobs in Madison, MS (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 ...

Accord Technologies Inc.

Senior Azure Engineer

Jackson, MS · Remote

$111K - $151K/yr

Jackson, MS (Remote) Job Type: long term contract The Senior Azure Engineer is a strategic ... and data systems. The engineer will automate processes, establish governance, and mentor team ...

All JobsAzure Data Factory JobsRemote Azure Data Factory JobsRemote Azure Data Factory Jobs in Madison, MS

Remote Azure Data Factory information

See Madison, MS salary details

$8

$47

$64

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

As of Aug 14, 2026, the average hourly pay for remote azure data factory in Madison, MS is $47.52, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $53.41 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.
Remote Azure Data Factory jobs near you
Infographic showing various Remote Azure Data Factory job openings in Madison, MS as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,834 per year, or $47.5 per hour.

SME Azure Data Engineer

Noblesoft Technologies

Jackson, MS • Remote

$117K - $140K/yr

Contractor

Re-posted 5 days ago

Job description

Role: SME Azure Data Engineer

Location: Jackson, MS 39211 – Remote

Duration: 5 years

 

Bachelor’s degree required 

Position Description:

Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and related education systems.

  • Develop and optimize ETL/ELT processes to ingest, transform, and validate K–12 education data from multiple source systems.
  • Implement and manage data models, views, and performance tuning in Azure SQL and Synapse environments.
  • Monitor, troubleshoot, and resolve data pipeline and performance issues.
  • Document data flows, transformations, and technical standards.
  • Collaborate with analysts, reporting teams, and vendors to deliver timely, accurate data for federal and state reporting.

Required Skills:

A minimum of 5 years of experience in the following:

  • Advanced development and orchestration of data pipelines using Azure Data Factory/Synapse or similar cloud based platforms. (pipelines, triggers, integration runtimes, parameterization).
  • Data warehousing and analytics engineering using Azure Synapse Analytics or similar cloud based platforms (dedicated and serverless SQL pools).
  • Strong T-SQL skills, including query optimization, indexing strategies, stored procedures, and performance tuning.
  • Implementation of ETL/ELT frameworks, including incremental loads, CDC patterns, and error handling.
  • Integration of structured and semi-structured data (CSV, JSON, XML) from APIs, SFTP, and vendor systems.
  • Source control and deployment practices using Azure DevOps, Git, and CI/CD pipelines.

Preferred Skills:

  • Experience with student information management systems and K-12 data and reporting
  • Experience with Common Education Data Standards (CEDS)
  • Azure Data Engineer Associate certification