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Microsoft Azure Data Engineer Jobs in Arizona (NOW HIRING)

Dlapiper

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Addison Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5 ... Azure Data Factory * Power BI experience is a plus Addison Group is an Equal Opportunity Employer.

Addison Group

Data Engineer

Phoenix, AZ · On-site

$55 - $65/hr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5 ... Azure Data Factory * Power BI experience is a plus Addison Group is an Equal Opportunity Employer.

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Microsoft Azure Data Engineer information

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$41.5K

$120.9K

$165.4K

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

As of Aug 13, 2026, the average yearly pay for microsoft azure data engineer in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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?

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.

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.

Is a Microsoft Azure Data Engineer in demand?

Microsoft Azure Data Engineers are in high demand due to the increasing adoption of cloud data solutions and the need for expertise in data integration, storage, and processing using tools like Azure Data Factory and Azure Synapse. Organizations seek professionals with skills in cloud platforms, data modeling, and certifications such as Azure Data Engineer Associate to support their data infrastructure needs.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Arizona?

The most popular types of Microsoft Azure Data Engineer jobs in Arizona are:

What are popular job titles related to Microsoft Azure Data Engineer jobs in Arizona?

For Microsoft Azure Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Microsoft Azure Data Engineer jobs in Arizona look for?

The top searched job categories for Microsoft Azure Data Engineer jobs in Arizona are:

Microsoft Azure Data Engineer jobs near you
Infographic showing various Microsoft Azure Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

URGENT NEED - Data Engineer Lead __ Glendale, AZ - HYBRID

Navtech, Inc.

Glendale, AZ • On-site

Contractor

Re-posted 12 days ago

Job description

I have an opportunity for "Data Engineer Lead __ Glendale, AZ - HYBRID" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer someone I would really appreciate it.
Position : Data Engineering Lead
Location: Glendale, AZ - Hybrid/Onsite
Duration : 6 TO 12 Months Contract
Visa : USC
Please note that this role requires leadership experience, Azure Data Lake expertise, and Business Objects knowledge. Your resume should reflect actual working experience with these technologies, as the candidate will need to answer detailed technical questions during the interview process.
Job Summary:
We are seeking an experienced and highly skilled Software Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and its associated ecosystem. The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a solid understanding of security concepts within Azure, and a proven track record of leading teams in delivering scalable and secure data solutions. #LI-TN1
Major Responsibilities:
Architectural Design and Implementation:
• Design and implement robust, scalable, and efficient data architectures leveraging Azure Data Lake and Databricks.
• Define and enforce best practices for data ingestion, storage, processing, and retrieval.
• Optimize data workflows to ensure high performance and cost efficiency.
Data Governance and Security:
• Develop and implement security measures for Azure Data Lake, ensuring compliance with organizational and regulatory standards.
• Manage role-based access control (RBAC), encryption, and other security protocols within Azure Subscriptions.
• Collaborate with security teams to perform regular audits and vulnerability assessments.
Team Leadership and Collaboration:
• Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.
• Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams, to deliver data-driven solutions.
• Drive agile practices and ensure timely delivery of projects.
Platform Optimization and Monitoring:
• Oversee the deployment and management of Azure Data Lake and Databricks environments.
• Implement monitoring and alerting systems to ensure system reliability and performance.
• Evaluate and incorporate new Azure services and technologies to enhance the data platform.
Strategic Planning and Roadmap Development:
• Develop and execute a roadmap for data engineering aligned with business objectives.
• Stay abreast of industry trends and advancements in data engineering and Azure technologies.
• Provide recommendations for long-term data strategy, including data lakehouse adoption and cloud optimization.
Education and Experience Requirements:
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 8+ years of experience in data engineering, with at least 3 years in a leadership role.
• Extensive hands-on experience with Azure Data Lake, Databricks, and other Azure services.
• Proven expertise in architecting and implementing large-scale data solutions.
• US citizenship is required for this position.
Required Knowledge and Skills:
Technical Skills:
• Proficiency in SQL.
• Deep understanding of Azure security concepts, including subscription management, RBAC, and data encryption.
• Experience with data modeling, ETL pipelines, and big data technologies.
• Familiarity with CI/CD pipelines and DevOps practices in a data engineering context.
Soft Skills:
• Strong leadership and team management abilities.
• Excellent communication and stakeholder management skills.
• Analytical mindset with a proactive approach to problem-solving.
Preferred Qualifications:
• Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.
• Experience with implementing data lakehouse architectures.
• Familiarity with data governance frameworks like GDPR, CCPA, or HIPAA.
Regards,
Alex . K
NAVTECH INC
P : (224) 348-1340 E : Alex@navtechusa.com
1600 Golf Road. Suite 1200, Rolling Meadows, IL 60008
www.Navtechusa.com E-Verified Company.
Navtech logo

About Navtech

Sourced by ZipRecruiter

Industry

Civil engineering construction

Company size

11 - 50 Employees

Headquarters location

New Bloomfield, PA, US

Year founded

1996

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