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Microsoft Azure Data Engineer Jobs (NOW HIRING)

Kasmo Global

Data Engineer

Dallas, TX

$113K - $136K/yr

... Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps and Power BI. 5. Combination of Development, Administration ...

Prophecy Technologies

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Role Summary We are seeking an experienced Data Engineer Lead to join our onshore team and drive the design, development, and optimization of enterprise data solutions using Microsoft Azure and ...

Software Technology Inc

Data Engineer | ONSITE

Dallas, TX

$54.75 - $67.75/hr

... Microsoft Azure) including Azure EventHub, Azure Minimum Qualifications • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/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 ...

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Hands-on experience using Microsoft SQL Servers, Visual Studio, SQL Server Analysis Services (SSAS ... Azure Data Engineer Associate Certification) preferred * Minimum 3 years of experience working on ...

Calance US

Azure Data Engineer- onsite

Charlotte, NC · Hybrid

$106K - $128K/yr

... Microsoft Fabric ecosystem. The resource will design the Medallion architecture, ensuring a ... Azure Data Engineer Associate is strongly preferred. Soft Skills: Ability to lead architectural ...

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

... Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI * Combination of Development ...

InstantServe LLC

Azure Data Engineer

$117K - $140K/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 ...

Kaav Inc.

Sr. Data Engineer | ONSITE

Dallas, TX

$54.75 - $67.75/hr

... Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps o Scripting: Python, Spark, Unix, SQL Minimum ...

Martello Re

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... with Microsoft Fabric. Part time telecommuting 2 days per week. Job location: Charlotte, NC. To apply, please visit and select the Job Title: Azure Data Engineer. Alternatively, please send your ...

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Microsoft Azure Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jun 11, 2026, the average yearly pay for microsoft 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 in the Microsoft Azure Data Engineer position, and why are they important?

To excel as a Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and cloud data services, usually validated by a computer science degree or similar field. Familiarity with Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, attention to detail, and excellent communication skills help in collaborating with both technical and non-technical teams. These capabilities ensure efficient, secure, and scalable data solutions that meet business needs in dynamic enterprise environments.

What is a Microsoft Azure Data Engineer job?

A Microsoft Azure Data Engineer is responsible for designing, implementing, and managing data solutions on the Azure cloud platform. They work with structured and unstructured data, building data pipelines, optimizing storage, and ensuring efficient data processing. Their role includes using Azure services like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to support business intelligence and analytics. They also ensure data security, compliance, and performance optimization.

Is Azure data engineer in demand?

Azure Data Engineers are in high demand due to the increasing adoption of cloud data solutions and the need for managing large-scale data pipelines using tools like Azure Data Factory and Azure Synapse. Organizations seek professionals with skills in cloud platforms, data modeling, and certifications such as Microsoft Certified: Azure Data Engineer Associate, making this a promising career path.

What are the typical daily responsibilities of a Microsoft Azure Data Engineer?

A Microsoft Azure Data Engineer usually spends their day designing, implementing, and maintaining data pipelines using Azure services to ensure the reliable flow and transformation of data. They collaborate closely with data scientists, analysts, and business stakeholders to understand requirements and deliver scalable solutions. Regular tasks might include optimizing database performance, troubleshooting data integration issues, writing code for data ingestion, and maintaining data security and compliance within the cloud environment. This multifaceted work environment offers varied challenges and opportunities for continuous learning and professional development.

How much do Azure data engineers make?

Azure Data Engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud data solutions and data management tools.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Microsoft Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in big data and machine learning, and in high-demand industries. Achieving this level often requires advanced certifications, leadership roles, and a strong track record of managing large-scale data projects.

Is Azure data engineer discontinued?

Azure Data Engineer is a current and in-demand role focused on designing and implementing data solutions using Microsoft Azure tools like Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics. Microsoft continues to invest in cloud data services, and the role remains relevant for professionals with skills in cloud data architecture, ETL processes, and data security.
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Microsoft Azure Data Engineer jobs near you
Infographic showing various Microsoft Azure Data Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Kasmo Global

Dallas, TX

$113K - $136K/yr

Other

Posted 4 days ago

Job description

Data Engineer

Duration – Contract

Location – Dallas, TX

Only Local

Note: Second round interviews will be in person

Job description: Top 3 mandatory skills and experience: SQL, Python, PySpark; Nice to have skills and experience: API Development

Data Engineer - Azure Data Bricks

Description: This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions

• Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools

• Perform multiple aspects involved in the development lifecycle – design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support

• Provide technical leadership and collaborate within a team environment as well as work independently

• Be a part of a DevOps team that completely owns and supports their product

• Implement batch and streaming data pipelines using cloud technologies

• Leads development of coding standards, best practices and privacy and security guidelines

• Mentors others on technical and domain skills to create multi-functional teams

All you'll need for success Minimum Qualifications- Education & Prior Job Experience

1. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

2. 3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions

3. 3 years Data Engineering experience using SQL

4. 2 years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps and Power BI.

5. Combination of Development, Administration & Support experience in several of the following tools/platforms required:

a. Scripting: Python, PySpark, Unix, SQL

b. Data Platforms: Teradata, SQL Server

c. Azure Data Explorer. Administration skills are a plus

d. Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Power Apps, and Azure Functions

e. CI/CD: GitHub, Azure DevOps, Terraform

f. BI Analytics Tool Stack - Cognos, Power BI

Preferred Qualifications- Education & Prior Job Experience

1. 5 years of software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions.

2. 3+ years of Data Analytics experience using SQL

3. 3+ years full-stack development experience, preferably in Azure

4. 3+ years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps, and Power BI.

5. 1+ years of FAST API experience is a plus

6. Airline Industry Experience

7. Skills, Licenses & Certifications

8. Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers.

9. Azure Development Track Certification (preferred)

10. Spark Certification (preferred)

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