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Senior Microsoft Azure Data Engineer Jobs in Raleigh, NC

Azure Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

DHHS-ITD is seeking a Data Engineer for design, development, and optimization of a cloud-based analytics environment built on Microsoft Azure and Power BI for the Child Welfare and Medicaid Program(s)

New

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Additionally, obtaining relevant certifications, such as the Microsoft Certified: Azure Data Engineer Associate, can further validate and enhance these skills. Qualifications: * Bachelor's degree in ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Power BI and Data engineer

Raleigh, NC · On-site

$111K - $133K/yr

Raleigh, NC (Hybrid) Duration: 12 Months Job Summary We are seeking an experienced Power BI & Azure Data Engineer to design, develop, and optimize cloud-based analytics solutions using Microsoft ...

New

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

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 ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Strong experience with SQL, Microsoft SQL Server and T-SQL development. * Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools. * Experience programming with ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Strong experience with SQL, Microsoft SQL Server and T-SQL development. * Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools. * Experience programming with ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Strong experience with SQL, Microsoft SQL Server and T-SQL development. * Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools. * Experience programming with ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... AWS and Microsoft Azure - Excelling in data architecture development and data modeling ...

Data Engineer

Cary, NC

$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 · 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 ...

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Senior Microsoft Azure Data Engineer information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

How much do senior microsoft azure data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior microsoft azure data engineer in Raleigh, NC is $122,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Microsoft Azure Data Engineer vs Data Engineer?

AspectSenior Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentPrimarily cloud-based, Azure platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning, building, and maintaining data solutions on AzureDeveloping data pipelines, databases, and ETL processes
Industry UsageUsed in organizations leveraging Azure cloud servicesUsed across various industries and cloud providers

The main difference is that a Senior Microsoft Azure Data Engineer specializes in designing and managing data solutions specifically on the Azure platform, often requiring Azure certifications. In contrast, a Data Engineer may work with various cloud providers or on-premises systems without a focus on Azure, handling broader data pipeline and database tasks across different environments.

What are the key skills and qualifications needed to thrive as a Senior Microsoft Azure Data Engineer, and why are they important?

To thrive as a Senior Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud architecture, and proficiency with Azure services, supported by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Synapse Analytics, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are typically required. Strong problem-solving, communication, and project management skills distinguish top professionals in this role. These capabilities are essential for designing robust data solutions, ensuring data integrity, and effectively collaborating with stakeholders in complex cloud environments.

What are the most common challenges faced by Senior Microsoft Azure Data Engineers when designing cloud-based data solutions?

Senior Microsoft Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing costs within cloud environments. Balancing scalability with efficiency, especially when dealing with large volumes of real-time data, requires a deep understanding of Azure services and best practices. Additionally, collaborating with data architects, analysts, and DevOps teams to integrate and maintain robust data solutions is a key aspect of the role. Staying updated with Azure’s rapidly evolving ecosystem is essential for long-term success.

What does a Senior Microsoft Azure Data Engineer do?

A Senior Microsoft Azure Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft Azure cloud services. They manage data pipelines, ensure data quality, and optimize storage and processing for large-scale data environments. These professionals also collaborate with other teams to implement best practices in data security, compliance, and performance, leveraging tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their expertise helps organizations make data-driven decisions and improve business outcomes.
What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Raleigh, NC? The most popular types of Microsoft Azure Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Senior Microsoft Azure Data Engineer jobs in Raleigh, NC? For Senior Microsoft Azure Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Microsoft Azure Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Senior Microsoft Azure Data Engineer jobs in Raleigh, NC are:
Infographic showing various Senior Microsoft Azure Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $122,801 per year, or $59 per hour.
Azure Data Engineer

Azure Data Engineer

Innosoul inc

Raleigh, NC • On-site

$111K - $133K/yr

Other

Posted yesterday


Job description

Job ID: NC-806590

Hybrid/Local Govt Azure Data Engineer (15+) with Power BI (must), dataflows/DirectQuery/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 DirectQuery/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

Description:
DHHS-ITD is seeking a Data Engineer for design, development, and optimization of a cloud-based analytics environment built on Microsoft Azure and Power BI for the Child Welfare and Medicaid Program(s).

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.