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Azure Data Engineer Jobs (NOW HIRING)

Calance US

Azure Data Engineer- onsite

Charlotte, NC · Hybrid

$106K - $128K/yr

We are hiring Azure Data Engineer- onsite for a Contract To Hire position in Charlotte, NC Client is hiring an Azure Data Engineer to lead the build of a next-generation data platform. The resource ...

Tanisha Systems

Azure Data Engineer

New York, NY · On-site

$125K - $150K/yr

Azure Data Engineer Date: Start Date: 10/01/2025 Assist in building and maintaining the infrastructure needed for efficient extraction, transformation, and loading (ETL) of data from a variety of ...

Spar Information Systems

Azure Data Engineer

Frisco, TX

$107K - $128K/yr

Role: Sr Azure Data Engineer Location: Frisco, TX 3 days onsite in a week Duration: Long term contract Job Summary We are seeking a Senior Data Engineer to design, build, and operate highly scalable ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and ...

Noblesoft Technologies

SME Azure Data Engineer

Jackson, MS · Remote

$117K - $140K/yr

SME Azure Data Engineer Location: Jackson, MS 39211 - Remote Duration: 5 years Bachelor's degree required Position Description: Design, build, and maintain Azure-based data pipelines using Synapse ...

KPG99 INC

Azure Data Engineer :: W2 only

Manhattan, NY · On-site

$60.75 - $75.25/hr

Lead Azure Data Engineer 6+ month Contract with ext 4 days onsite at WTC ( Lower Manhattan, New York City) Required Qualifications * 8+ years of hands-on experience in data engineering, ETL ...

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All JobsAzure Data Engineer Jobs

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 Jun 15, 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 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.

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 engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

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.
More about Azure Data Engineer jobs
What cities are hiring for Azure Data Engineer jobs? Cities with the most Azure Data Engineer job openings:
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What states have the most Azure Data Engineer jobs? States with the most job openings for Azure Data Engineer jobs include:
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Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Azure Data Enginner

Futran Tech Solutions Pvt. Ltd.

Bellevue, WA • On-site

$129K - $155K/yr

Full-time

Posted 29 days ago

Job description

Data Engineer
Skills required
Cosmos SQL experience Azure Power BI
Knowledge of Azure Data Factory ADLS
Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis
and strong knowledge of Data Warehousing Concepts
Customer facing code development and review of dev
TSQL queries Performance tuning
Proven experience in strong Data Analysis dealing with large volume of datasets
Proven experience in Design Implementation of endend data pipelines
Should have strong knowledge of Data Warehousing concepts
Should have very good experience in BI tools Reporting tools like Power BI
Microsoft Big Data Technologies
Knowledge on Azure VM Storage
Role and Responsibilities
Should be able write complex and efficient SQL queries
Should be able to design Implement endend data pipelines using cosmos and ADF
Problem analysis and troubleshooting complex large volume of datasets data issues
Strong communication skills should be able to communicate complex information to technical and nontechnical stakeholders

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