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Full Time Azure Data Factory Jobs in Raleigh, NC

ETL Developer

Cary, NC · On-site

$50 - $65.50/hr

Responsibilities : • Experience in implementing the data solutions on MS Azure using Azure Data Factory, Synapse or Azure SQL Data Warehouse • Prior Experience on any of the ETL Technologies like ...

ETL Developer

Cary, NC · On-site

$50 - $65.50/hr

Responsibilities : • Experience in implementing the data solutions on MS Azure using Azure Data Factory, Synapse or Azure SQL Data Warehouse • Prior Experience on any of the ETL Technologies like ...

Integration Engineering Consultant

Raleigh, NC · On-site

$101K - $136K/yr

Connect and orchestrate data pipelines between on-premises SQL databases and cloud services using Azure Data Factory (ADF), Logics Apps and Power Automate connectors. * Validate and monitor automated ...

Showing results 21-40

Full Time Azure Data Factory information

See Raleigh, NC salary details

$10

$56

$77

How much do full time azure data factory jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for full time azure data factory in Raleigh, NC is $56.77, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $63.80 per hour, depending on experience, location, and employer.

What is a full time Azure Data Factory job?

Full Time Azure Data Factory jobs are positions where professionals work exclusively with Microsoft Azure Data Factory (ADF), a cloud-based data integration service. These roles typically involve designing, building, and managing data pipelines to move and transform data across various sources in the cloud. Employees in these jobs often collaborate with data engineers, analysts, and other IT staff to ensure efficient data workflows and solutions. Working full-time means the individual is employed on a standard work schedule, usually 40 hours per week, focusing solely on Azure Data Factory-related tasks.

What are the key skills and qualifications needed to thrive as a full time Azure Data Factory professional?

To thrive as a Full Time Azure Data Factory professional, you need strong expertise in data integration, ETL processes, and SQL, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for collaborating with teams and addressing complex data challenges. Mastering these skills ensures efficient data pipeline development, reliable data management, and successful delivery of business intelligence solutions.

What are some common challenges faced by professionals working full time with Azure Data Factory, and how can they be addressed?

Full-time Azure Data Factory professionals often encounter challenges such as orchestrating complex data workflows, managing data integration across diverse sources, and ensuring data pipeline reliability. Navigating frequent updates to cloud services and maintaining robust security and compliance can also add complexity. These challenges can be addressed by staying updated with Azure documentation, leveraging built-in monitoring and error-handling features, and actively collaborating with data engineers, architects, and business analysts to align on data requirements and best practices.

What is the difference between Full Time Azure Data Factory vs Data Engineer?

AspectFull Time Azure Data FactoryData Engineer
Required SkillsAzure Data Factory, ETL, cloud data integrationSQL, Python, ETL, cloud platforms
CertificationsAzure Data Engineer Associate, Azure certificationsNone specific, often cloud or data certifications
Work EnvironmentCloud-based data integration projectsData pipeline development, database management
Industry UsageData integration roles in cloud-focused companiesData infrastructure across various industries

Full Time Azure Data Factory roles focus on cloud-based data integration using Azure services, often requiring specific certifications. Data Engineers have broader responsibilities in building and maintaining data pipelines across platforms, with skills in SQL and programming. Both roles are essential in data-driven organizations but differ in scope and technical focus.

What are the most commonly searched types of Azure Data Factory jobs in Raleigh, NC?

The most popular types of Azure Data Factory jobs in Raleigh, NC are:

What are popular job titles related to Full Time Azure Data Factory jobs in Raleigh, NC?

For Full Time Azure Data Factory jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Full Time Azure Data Factory jobs in Raleigh, NC look for?

The top searched job categories for Full Time Azure Data Factory jobs in Raleigh, NC are:

Infographic showing various Full Time Azure Data Factory job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $118,085 per year, or $56.8 per hour.

$50 - $65.50/hr

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Syntricate Technologies is seeking an ETL Developer to implement data solutions on MS Azure. The role involves designing and building data pipelines, working with various ETL technologies, and mentoring resources while ensuring effective data extraction strategies.
Responsibilities:
• Experience in implementing the data solutions on MS Azure using Azure Data Factory, Synapse or Azure SQL Data Warehouse
• Prior Experience on any of the ETL Technologies like Informatica Power Centre, SSIS
• Experience with systems like a relational database SQL Server, DB2 , mainframe database, VSAM files, flat files, Sequential files
• Good experience in data extraction ( Full data + Incremental data) strategies from source systems
• In-depth understanding of various storage services offered by Azure
• Experience with data process Orchestration, end-to-end design and build process of Near-Real Time and Batch Data Pipelines
• Working experience with Azure monitor and Azure log Analytics
• Strong client-facing communication skills
• Experience with agile methodologies
• Hands on Experience in using Azure devops.
• Analyze current code in informatica, SQL, unix scripts.
• Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities
• Documents all technical and system specifications documents for all ETL processes and perform unit tests on all processes
• Able to mentor and guide offshore resources ( Not required for Offshore resources)
Qualifications:
Required:
• Experience in implementing the data solutions on MS Azure using Azure Data Factory, Synapse or Azure SQL Data Warehouse
• Prior Experience on any of the ETL Technologies like Informatica Power Centre, SSIS
• Experience with systems like a relational database SQL Server, DB2, mainframe database, VSAM files, flat files, Sequential files
• Good experience in data extraction (Full data + Incremental data) strategies from source systems
• In-depth understanding of various storage services offered by Azure
• Experience with data process Orchestration, end-to-end design and build process of Near-Real Time and Batch Data Pipelines
• Working experience with Azure monitor and Azure log Analytics
• Strong client-facing communication skills
• Experience with agile methodologies
• Hands on Experience in using Azure devops
• Analyze current code in informatica, SQL, unix scripts
• Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities
• Documents all technical and system specifications documents for all ETL processes and perform unit tests on all processes
• Able to mentor and guide offshore resources (Not required for Offshore resources)
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.