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Remote Azure Data Factory Jobs (NOW HIRING)

Horizontal Talent

Sr Data Analyst

Eden Prairie, MN · On-site +1

$22 - $40/hr

Develop and maintain solutions using Azure Data Factory, Databricks, Informatica PowerCenter, SSIS, and similar tools. * Work with relational databases and write stored procedures to support ...

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 ...

Centstone

Database Architect

Minneapolis, MN · Remote

$65.25 - $84/hr

Minnesota (Remote/Hybrid) Experiance : 8+ years We are seeking an experienced Azure Database ... Utilize Azure Data Factory, Azure Monitor, Azure CLI/PowerShell, SQL Analytics, and Query ...

Perfict

Data Warehouse Engineer

... Data Factory, Azure Data Lake, MS SQL Server, Oracle DB, Power BI and Tableau. • Programming experience with scripting languages such as Python, SQL and PowerShell is required. • Deep ...

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 ...

RIT Solutions, Inc.

Microsoft Data Fabric Developer

Responsibilities : • Design, develop, and maintain data pipelines using Microsoft Fabric, Azure Data Factory, Synapse Analytics, and Databricks. • Implement data integration, transformation, and ...

IT America Inc

"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.

NAVA Software Solutions

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 ...

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · Remote

Implement data integration pipelines using Microsoft Azure Data Factory, Azure Data Lake, and other ... This remote role is only open to individuals that reside in one of the following states at the time ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Proficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric ...

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · On-site +1

Implement data integration pipelines using Microsoft Azure Data Factory, Azure Data Lake, and other ... This remote role is only open to individuals that reside in one of the following states at the time ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Proficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric ...

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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 Sep 12, 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 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 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 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 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Sr Data Analyst

Eden Prairie, MN • On-site, Remote

Horizontal Talent
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Horizontal Talentexternal

$22 - $40/hr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Join a dynamic enterprise data team as a Senior Data Engineer supporting large-scale healthcare data solutions in a highly collaborative environment. This role offers the opportunity to work on meaningful data warehousing and integration initiatives using modern Microsoft Azure technologies, Snowflake, and healthcare data standards.

Responsibilities
  • Design, build, and support data pipelines and ETL solutions for complex healthcare data environments.
  • Develop and maintain solutions using Azure Data Factory, Databricks, Informatica PowerCenter, SSIS, and similar tools.
  • Work with relational databases and write stored procedures to support efficient data processing and transformation.
  • Translate business requirements into clear technical specifications for ETL and data warehouse solutions.
  • Process both structured and unstructured data while maintaining data quality, reliability, and performance.
  • Collaborate with data, analytics, and governance partners to support enterprise information management efforts.
  • Troubleshoot issues, optimize pipelines, and adapt solutions as business needs and technologies evolve.
  • Contribute to work involving healthcare data formats and standards such as HL7 and FHIR.
Skills
  • 8+ years of data engineering experience with a strong focus on data warehousing.
  • 5+ years of hands-on experience with Azure Data Factory and Databricks.
  • 5+ years of ETL development experience using tools such as Informatica PowerCenter, SSIS, Azure Data Factory, or similar platforms.
  • 5+ years of experience with relational databases such as Oracle, Snowflake, or SQL Server.
  • 5+ years of experience writing stored procedures using Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL.
  • 3+ years of experience with Python scripting.
  • 3+ years of experience using source control tools such as Azure DevOps, GitHub, or SVN.
  • Experience analyzing project requirements and creating detailed technical specifications.
  • Strong problem-solving, troubleshooting, and analytical skills.
  • Bachelor’s degree or advanced degree in Information Technology, Computer Science, Mathematics, Statistics, Analytics, Business, or a related field.
Preferred Skills
  • Experience with batch scripting or PowerShell.
  • Data modeling experience in a data warehouse environment.
  • Familiarity with Spark and Azure Data Fabric.
  • Experience designing and building APIs in Snowflake and Azure Data Factory, including REST or RPC approaches.
  • Background in healthcare data, especially Medicaid or Medicare-related applications.
  • Azure certifications related to data engineering or data analytics.

Horizontal is committed to building an inclusive and welcoming environment where diverse perspectives are valued and everyone can contribute meaningfully. We believe equity, respect, and belonging are essential to great teamwork and better outcomes for candidates, clients, and communities.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.


Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $22 - $40 per hour based on qualifications and experience.

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