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Azure Data Engineer Jobs (NOW HIRING)

Azure Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

Azure Data Engineer

Grand Rapids, MI · On-site

$106.30K - $127.70K/yr

Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience working with complex data flows ...

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Azure Data Engineer

$117.20K - $140.70K/yr

Azure Data Engineer Location: Remote We are seeking an experienced Azure Data Engineer to design, build, and maintain scalable data solutions in Azure. The role involves working with data pipelines ...

Azure Data Engineer

Hamilton, NJ · On-site

$113.60K - $136.50K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Azure Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Azure Data Engineer Location: Atlanta GA - Hybrid / / Remote also ok Duration: 12 months Responsibilities * Strong exp in Azure Data Analytics having a thorough understanding of Azure Data Platform ...

Azure Data Engineer

Wilmington, MA · On-site

$125.20K - $150.30K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be local to MA or NH) Duration: Long Term Contract Position Summary We are seeking a highly motivated ...

Azure Data Engineer

Wilmington, MA · Hybrid

$125.20K - $150.30K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be local to MA or NH) Duration: Long Term Contract Position Summary We are seeking a highly motivated ...

Azure Data Engineer

Jersey City, NJ · On-site

$125.40K - $150.50K/yr

Azure Data Engineer: * 10+ years of strong experience in a large & complex application development environment, last 2 projects in investment banking or financial services industry and on data-heavy ...

Azure Data Engineer

Dallas, TX · On-site

$113.30K - $136K/yr

Lead/ Senior Azure Data Engineer Location : Dallas, TX Rate : On C2C Job Summary: The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and ...

Azure Data Engineer

Hamilton, NJ · On-site

$113.60K - $136.50K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Azure Data Engineer

$117.20K - $140.70K/yr

Azure Data Engineer Associate (or higher), Azure Data Factory, Job Summary: We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory , Azure Databricks , Oracle , and ...

Azure Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128.50K/yr

Key responsibilities include leading data engineering teams, architecting scalable Azure Databricks solutions, and implementing secure, high-quality enterprise data platforms that support analytics ...

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Azure Data engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do azure data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for azure data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

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 are Azure Data Engineers?

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 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.

More about Azure Data engineer jobs
What cities are hiring for Azure Data Engineer jobs? Cities with the most Azure Data Engineer job openings:
What are the most commonly searched types of Azure Data Engineer jobs? The most popular types of Azure Data Engineer jobs are:
What states have the most Azure Data Engineer jobs? States with the most job openings for Azure Data Engineer jobs include:
Infographic showing various Azure Data Engineer job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 78% Physical, 12% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Azure Data Engineer

$53.75 - $66.75/hr

Other

Posted 16 days ago


Job description

Hiring: Azure Data Engineer

Location: Charlotte, NC

Local candidates only (must be available for an in-person interview next week)

Employment Type: W2 Only

We are looking for an experienced Azure Data Engineer with strong expertise in cloud-based data engineering solutions.

Required Skills & Experience:

• Hands-on experience with Azure Cloud Services

• Strong knowledge of:

Azure Data Factory

Azure Data Lake Gen2

Azure Databases

Azure Data Fabric

API Gateway Management

Azure Functions

• Expertise in Azure Databricks

• Strong SQL skills with RDBMS and/or NoSQL databases

• Experience developing APIs using FastAPI or similar Python frameworks

• Familiarity with DevOps tools/processes (Git, Jenkins, CI/CD pipelines)

• Good understanding of ETL/ELT processes

Nice to Have:

• Experience in the financial services domain

• Knowledge of financial instruments, asset classes, and market data