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Azure Data Engineer Jobs in North Carolina (NOW HIRING)

Innosoul inc

Azure Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

NC-806590 Hybrid/Local Govt Azure Data Engineer (15+) with Power BI (must), dataflows/Direct Query/Import models, JSON/CSV/Parquet, Synapse/Snowflake/ADLS/Data Factory/Databricks, ETL/ELT, tuning ...

Programmers.io

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

· Cloud & Data Engineer with hands-on experience deploying and administering Azure resources, including compute, networking, storage, security, and monitoring components · Proven ability to ...

Tandym Tech

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

A financial services firm in North Carolina is seeking a new Azure Data Engineer to join their team in Charlotte, supporting the onboarding, validation, and maintenance of security data pipelines ...

Axiom Path

Senior Azure Data Engineer 3625215

Charlotte, NC · On-site

$103K - $140K/yr

Design, build, and maintain scalable data engineering solutions using Microsoft Azure technologies. * Develop and optimize data pipelines that support enterprise reporting, analytics, and downstream ...

Kanak Elite Services Inc

Data Engineer

Raleigh, NC · 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 ...

Infosys Limited Digital

Azure Data Engineer

Dallas, NC · On-site

$99K - $119K/yr

... Data Engineering|Databricks Technical Skills 2 Technology|Big Data - Data Processing|PySpark Technical Skills 3 Foundational|Development process generic|Data Warehousing Development process Overview ...

Amicis Global

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Title: Data Engineer Duration: 12+ months Location: Charlotte, NC 28202 Role Objectives * These ... Azure Data Factory * Azure Lake Gen 2 * Azure Databases * Azure Data Fabric * API Gateway ...

GEI Consultants

Data Engineer

Cary, NC · 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 ...

GEI Consultants

Data Engineer

Cary, NC

$107K - $128K/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 ...

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Azure Data Engineer information

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$40.4K

$117.9K

$161.3K

How much do azure data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for azure data engineer in North Carolina is $117,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 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 the most commonly searched types of Azure Data Engineer jobs in North Carolina?

The most popular types of Azure Data Engineer jobs in North Carolina are:

What are popular job titles related to Azure Data Engineer jobs in North Carolina?

For Azure Data Engineer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in North Carolina look for?

The top searched job categories for Azure Data Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Azure Data Engineer jobs?

Cities in North Carolina with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in North Carolina as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution, with an average salary of $117,886 per year, or $56.7 per hour.

Azure Data Engineer

Innosoul inc

Raleigh, NC • On-site

$111K - $133K/yr

Other

Re-posted 6 days ago

Job description

Job ID: NC-806590

Hybrid/Local Govt Azure Data Engineer (15+) with Power BI (must), dataflows/Direct Query/Import models, JSON/CSV/Parquet, Synapse/Snowflake/ADLS/Data Factory/Databricks, ETL/ELT, tuning, Python/Scala, PL/SQL, T-SQL, Warehousing/star schema experience

Location: Raleigh, NC (NCDHHS-NCFAST)
Duration: 12 Months

Skills:
Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI Required 5 Years
Experience supporting Power BI datasets, dataflows, and Direct Query/Import models. Required 5 Years
Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.). Required 3 Years
Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows Required 3 Years
SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization. Required 5 Years
Programming Languages: Strong proficiency in Python or Scala for data processing. Required 3 Years
Hands-on experience in developing efficient PL/SQL procedures Required 5 Years
Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) Required 2 Years
Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools). Required 2 Years
Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema) Required 2 Years

Job Description:
The Department of health and human services requires the assistance of a contract resource to serve as a Data Engineer responsible for the design, development, and optimization of data pipelines and analytics solutions/dashboards on cloud-based data platforms. This work will leverage Azure Synapse Analytics, Power BI, and integrations with Salesforce or Curam /Oracle to support program needs.

Key Responsibilities:
Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services.
Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning.
Develop and maintain data models, data transformations, and semantic layers to support Power BI reporting and analytics.
Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency.
Troubleshoot pipeline failures, Salesforce API issues, and Power BI dataset/dataflow refresh problems.

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