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Azure Data Engineer Jobs in Apex, NC (NOW HIRING)

Senior Azure Data Engineer

Cary, NC ยท On-site

$107K - $128K/yr

We are seeking an experienced Senior Azure Data Engineer with strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake, Kafka, Spark, SQL, Python, and PySpark . The ideal ...

New

Azure Data Engineer 1-20-

Raleigh, NC ยท Remote

$117K - $140K/yr

Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for 4+ months, with option of extension, and will be worked 100% on-site in Raleigh, NC. If you are ...

Data Engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

Experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows * Programming Languages: Strong proficiency in Python or ...

Data Engineer

Cary, NC ยท On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Data Engineer

Cary, NC ยท On-site

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Data Engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor, troubleshoot, and optimize data pipelines for performance and reliability. * Contribute to data quality ...

Data Engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor, troubleshoot, and optimize data pipelines for performance and reliability. * Contribute to data quality ...

Data Engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor, troubleshoot, and optimize data pipelines for performance and reliability. * Contribute to data quality ...

Data Engineer

Raleigh, NC ยท On-site

$111K - $133K/yr

Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor, troubleshoot, and optimize data pipelines for performance and reliability. * Contribute to data quality ...

Principal Data Engineer

Durham, NC ยท On-site

$110K - $132K/yr

... Azure services for analytics within the financial services industry. Or, alternatively, Master ... Data Engineer (or closely related occupation) designing, building and maintaining data pipelines ...

Principal Data Engineer

Durham, NC ยท On-site

$110K - $132K/yr

... Azure services for analytics within the financial services industry. Or, alternatively, Master ... Data Engineer (or closely related occupation) designing, building and maintaining data pipelines ...

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Azure Data Engineer information

See Apex, NC salary details

$33.9K

$98.8K

$135.2K

How much do azure data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for azure data engineer in Apex, NC is $98,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $104,800.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What are popular job titles related to Azure Data Engineer jobs in Apex, NC?

For Azure Data Engineer jobs in Apex, NC, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Apex, NC look for?

The top searched job categories for Azure Data Engineer jobs in Apex, NC are:

What cities near Apex, NC are hiring for Azure Data Engineer jobs?

Cities near Apex, NC with the most Azure Data Engineer job openings:

Infographic showing various Azure Data Engineer job openings in Apex, NC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $98,839 per year, or $47.5 per hour.

Senior Azure Data Engineer

Cary, NC โ€ข On-site

PROLIM Global Corporation
IT Servicesย โ€ขย 201 - 500 employees

$107K - $128K/yr

Full-time

Posted 3 days ago

New


Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking a Senior Azure Data Engineer for a position in Cary, NC with one of our top clients.
Location Cary, NC, Local Candidates Only
Duration: 6 Months (With Possible Extension)
Job Type: Contract
Experience Required: 8+ Years
Job Summary:
We are seeking an experienced Senior Azure Data Engineer with strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake, Kafka, Spark, SQL, Python, and PySpark. The ideal candidate will have extensive experience designing and developing scalable batch and real-time data pipelines, implementing Data Lake/Lakehouse architectures, and supporting large-scale data engineering initiatives.
Experience with Big Data/Cloudera, PostgreSQL migration to Azure Cloud, data migration using APIs, and enterprise data integration tools is highly preferred.
Key Responsibilities
  • Design, develop, and maintain batch and streaming data pipelines using Microsoft Azure, Azure Databricks, and Kafka.
  • Develop scalable ETL/ELT solutions using Apache Spark, SQL, Python/PySpark, or Scala.
  • Implement and support Data Lake and Lakehouse architectures using Azure and Databricks.
  • Integrate data from legacy and modern platforms into Azure cloud environments.
  • Support PostgreSQL database migration to Azure Cloud and develop migration strategies for enterprise data platforms.
  • Implement data migration and integration solutions using APIs.
  • Apply data quality checks and support data governance activities including metadata, lineage, and access controls.
  • Optimize Spark jobs for performance, reliability, scalability, and cost efficiency.
  • Develop and support batch and real-time data ingestion pipelines.
  • Work with Kafka and Big Data processing frameworks for high-volume data ingestion and streaming workloads.
  • Collaborate with Product Owners, Admin Teams, Business Systems Analysts, Scrum Masters, Project Managers, and cross-functional engineering teams.
  • Participate in Agile/Scrum ceremonies, technical discussions, troubleshooting, and production support.
  • Implement CI/CD processes using Azure DevOps and GitHub.

Required Skills & Experience
  • 8+ years of Data Engineering experience with strong Microsoft Azure expertise.
  • Strong hands-on experience with Azure Databricks (ADB) and Azure Data Factory (ADF).
  • Strong experience with Azure Data Lake and Lakehouse architectures.
  • Strong experience with PostgreSQL and database migration to Azure.
  • Strong Big Data experience, preferably with Cloudera.
  • Hands-on expertise in SQL, Python, PySpark, Spark, or Scala.
  • Proven experience developing batch and real-time data ingestion pipelines.
  • Strong experience with Kafka and Big Data processing.
  • Experience with ETL/ELT development and data integration.
  • Experience working with APIs for data migration and integration.

Good to Have
  • Informatica PowerCenter
  • Informatica IDMC or equivalent cloud data integration tools
  • SQL Server, Oracle, Azure SQL
  • Cosmos DB
  • Unix/Linux
  • Maestro or similar enterprise scheduling tools
  • Precisely or equivalent data quality/data management tools
  • Azure DevOps (AzDO)
  • GitHub-based CI/CD
  • Practical experience using GitHub Copilot for data engineering and development productivity
  • Exposure to Generative AI/GenAI use cases in data platforms and analytics

Preferred Domain Experience
Experience in the Insurance domain is a strong advantage, particularly with:
  • Policy
  • Claims
  • Billing
  • Underwriting
  • Actuarial Data
  • Regulatory Data

Qualifications
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Ability to work with cross-functional teams including Product Owners, BSAs, Admin Teams, Scrum Masters, and Project Managers.
  • Strong understanding of data engineering best practices, data quality, governance, and performance optimization.
  • Candidates must be local to Cary, NC.

About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services.
Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.