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Full Time Azure Data Factory Developer Jobs in Raleigh, NC

Data Engineer

Cary, NC · On-site

$107K - $128K/yr

Minimum 3 years' experience as a data engineer, business systems analyst or a similar role ... Experience with ETL tools, preferably SSIS (or equivalent such as Mulesoft or Azure Data Factory)

Data Analytics Engineer

Durham, NC

$110K - $132K/yr

... Data Lake, Azure Data Factory, Azure Blob Storage, Azure Synapse and Azure SQL * 3+ years of ... Employee StatusFull TimeSalary LowSalary High Employment Type: FULL_TIME

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

We are looking for a hands-on developer who is eager to use modern AI-assisted tools to drive ... Build and manage automated data pipelines using Azure Data Factory (ADF) to ingest and process ...

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

We are looking for a hands-on developer who is eager to use modern AI-assisted tools to drive ... Build and manage automated data pipelines using Azure Data Factory (ADF) to ingest and process ...

AI Engineer

Cary, NC

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse ...

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Experience with ETL orchestration tools (e.g., Airflow, Azure Data Factory) and managing data ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

Senior DevOps Engineer

Raleigh, NC · Remote

$133K - $170K/yr

Container Apps, AKS, Azure Functions, Key Vault, Synapse, Data Factory, Azure Landing Zones ... Experience in both onshore and offshore team collaboration models Working Conditions * Full-time, ...

Azure Architect

Raleigh, NC · On-site

$61.75 - $80.50/hr

PowerShell, Azure CLI, and/or Python. • Azure Monitor, App Insights • Azure DevOps, Github • ... factory" operating model (intake, assessment, wave planning, cutover management, and reporting ...

New

Lead IT Project Manager

Raleigh, NC · Hybrid

$140K - $170K/yr

... Azure Data Factory). * Mastery of schedule, scope, budget, quality, resources, risk/issue ... We are proud to offer our full-time regular employees a robust benefits suite that includes:

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Full Time Azure Data Factory Developer information

See Raleigh, NC salary details

$10

$56

$77

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

As of Jul 14, 2026, the average hourly pay for full time azure data factory developer 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 does a Full Time Azure Data Factory Developer do?

A Full Time Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration solutions using Microsoft Azure Data Factory. They build and manage data pipelines to extract, transform, and load (ETL) data from various sources into cloud-based data storage or analytics platforms. Their role involves collaborating with data engineers, analysts, and other stakeholders to ensure efficient and reliable data workflows. They also optimize data processes to enhance performance, troubleshoot issues, and ensure security and compliance standards are met.

What are the key skills and qualifications needed to thrive as a Full Time Azure Data Factory Developer, and why are they important?

To thrive as a Full Time Azure Data Factory Developer, you need expertise in data integration, ETL processes, SQL, and a strong understanding of Azure cloud services, typically supported by a degree in computer science or a related field. Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data workflows. These competencies ensure secure, efficient, and scalable data solutions that drive business intelligence and analytics initiatives.

What are some common challenges Full Time Azure Data Factory Developers face when integrating data from multiple sources?

Full Time Azure Data Factory Developers often encounter challenges such as handling varying data formats, ensuring data consistency, and managing real-time versus batch data loads when integrating information from multiple sources. Additionally, troubleshooting pipeline failures and optimizing data flows for performance can require strong problem-solving skills. Collaboration with data architects, database administrators, and business analysts is crucial to address these challenges and ensure that data integration processes align with organizational goals.

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

AspectFull Time Azure Data Factory DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining data pipelines using Azure Data FactoryBuilding, optimizing, and managing data infrastructure and pipelines across various platforms
Required SkillsAzure Data Factory, SQL, ETL processes, cloud servicesSQL, Python, Spark, cloud platforms, data modeling
CertificationsAzure Data Engineer Associate, Azure certificationsGoogle Cloud, AWS, or Azure certifications, depending on platform
Work EnvironmentCloud-based data projects within organizations using AzureBroader data infrastructure projects across multiple platforms

While both roles involve data pipeline development, the Full Time Azure Data Factory Developer specializes in Azure Data Factory and cloud-based ETL processes, whereas the Data Engineer has a broader scope, working with various tools and platforms to build comprehensive data solutions.

What are the most commonly searched types of Azure Data Factory Developer jobs in Raleigh, NC? The most popular types of Azure Data Factory Developer jobs in Raleigh, NC are:
What are popular job titles related to Full Time Azure Data Factory Developer jobs in Raleigh, NC? For Full Time Azure Data Factory Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Full Time Azure Data Factory Developer jobs in Raleigh, NC look for? The top searched job categories for Full Time Azure Data Factory Developer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Time Azure Data Factory Developer jobs? Cities near Raleigh, NC with the most Full Time Azure Data Factory Developer job openings:
Cloud Data Architect (Full-time Remote, NC Based)

Cloud Data Architect (Full-time Remote, NC Based)

Alliance Health

Morrisville, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture.  These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.

Responsibilities & Duties

Data Architecture Design and Modelling

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement

  • Define reference architectures, coding standards, and reusable patterns for data engineering teams 
  • Review and approve solution designs to ensure adherence to enterprise data architecture standards 
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security

  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication

  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements

Education & Experience

Bachelor’s degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.

The following technical certification (or comparable) is required:

• Databricks Certified Data Engineer Professional

The following technical certification (or comparable) is preferred:

• Azure Security Engineer Associate (AZ-500)

Knowledge, Skills, & Abilities

  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date. 

Salary Range 

$118-$150,872/Annually 

Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity. 

An excellent fringe benefit package accompanies the salary, which includes:  

  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility