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Full Time Azure Data Factory Jobs in Raleigh, NC

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · On-site

$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.

Pwc

Data Engineer - Senior Associate

Raleigh, NC · On-site

$77K - $202K/yr

... 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 ...

The Mutual Group

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:

IT Labs

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, ...

Sarian, Inc.

Sr. Data Analyst

Cary, NC · On-site

$81K - $103K/yr

Cary, NC - Fulltime Position Technical Skillset: Excellent knowledge in Cognos and other BI tool ... Understand the current data + existing model and have to suggest or design the data model in Azure ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern analytics stacks. * Knowledge of ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern analytics stacks. * Knowledge of ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern analytics stacks. * Knowledge of ...

Labcorp

Director, Marketing Data Strategy

Durham, NC · On-site

Work Schedule This is a full-time, exempt (salaried) position assigned to a First Shift schedule ... Five or more years of experience in cloud data environments (e.g., Snowflake, AWS, Azure) and their ...

Labcorp

Director, Marketing Data Strategy

Durham, NC · Hybrid

Work Schedule This is a fulltime, exempt (salaried) position assigned to a First Shift schedule ... Five or more years of experience in cloud data environments (e.g., Snowflake, AWS, Azure) and their ...

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Full Time Azure Data Factory information

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

As of Jun 13, 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 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 Full Time Azure Data Factory jobs?

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, and why are they important?

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 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:
What cities near Raleigh, NC are hiring for Full Time Azure Data Factory jobs? Cities near Raleigh, NC with the most Full Time Azure Data Factory job openings:
Full Time Azure Data Factory jobs near you
Infographic showing various Full Time Azure Data Factory job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, and 4% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $118,085 per year, or $56.8 per hour.
Senior Data Engineer

Senior Data Engineer

UnitedHealth Group

Raleigh, NC • On-site

$91K - $163K/yr

Full-time

Retirement

Posted 6 days ago

UnitedHealth Group rating

7.5

Company rating: 7.5 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

224th of 872 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.Join us to start Caring. Connecting. Growing together.
You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
  • Architect and optimize complex ETL processes and data pipelines using Databricks (Spark, SQL, Python) or other enterprise-scale integration tools to ensure high-performance processing of large-scale datasets
  • Evaluate emerging trends in ETL frameworks and AI to inform solution design and drive strategic innovation within the analytics platform
  • Use enterprise-approved AI tools to automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity
  • Implement advanced data modeling techniques, such as star schemas and incremental loads, to ensure data integrity and scalability across all ETL layers
  • Build and maintain executive-level dashboards and semantic models in Power BI, ensuring seamless data flow from backend ETL processes to end-user visualizations
  • Partner with product and business leaders to translate complex business requirements into robust, automated data integration solutions
  • Lead technical coordination within a global delivery model, ensuring consistency and quality of ETL standards across onshore and offshore teams
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree or equivalent experience
  • 6+ years of experience in analytics engineering, business intelligence, or data engineering roles delivering enterprise-scale analytics solutions
  • 5+ years of Cloud experience (Azure, GCP, AWS, or OCI)
  • 5+ years of experience in programming languages such as Python, Java, etc.
  • 4+ years of hands-on experience using Databricks (Spark, SQL, Python, notebooks) or other major ETL platforms to build and optimize large-scale data pipelines
  • 4+ years of experience in data modeling (star schemas, semantic modeling, incremental loads, large datasets) and advanced SQL
  • 1+ years of experience delivering AI-driven analytics or data solutions

Preferred Qualifications:
  • Healthcare industry experience, specifically in clinical or real-time analytics
  • Experience with ETL orchestration tools (e.g., Airflow, Azure Data Factory) and managing data lineage in governed environments
  • Experience developing AI-driven automations or integrating large language models (LLMs) into data products and ETL workflows
  • Experience with Power BI, Tableau or other visualization tools, including advanced DAX, Power Query, and semantic modeling
  • Demonstrated experience working in global delivery models with effective onshore-offshore collaboration
  • Proven ability to solve complex technical problems with a focus on data processing efficiency and system scalability

All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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