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Microsoft Azure Data Engineer Jobs in Arizona (NOW HIRING)

... 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 ...

Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert. * * Experience with implementing data lakehouse architectures. * * Familiarity with data governance ...

Azure/M365 Engineer

Phoenix, AZ · On-site

$55.25 - $74/hr

Azure Cloud Engineer (M365 Focus) 3 days onsite in Phoenix, AZ Contract to Hire W2 only, no C2C or ... Administer and support Microsoft Azure resources, networking, security, and hybrid environments

Fabric Data Engineer

Scottsdale, AZ · Hybrid

$115K - $138K/yr

Hands-on experience with Microsoft Fabric or a comparable cloud data platform such as Azure Synapse ... Fabric Data Engineer Associate (DP-700) is highly preferred. * A bachelor's degree in a related ...

Fabric Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Hands-on experience with Microsoft Fabric or a comparable cloud data platform such as Azure Synapse ... Fabric Data Engineer Associate (DP-700) is highly preferred. * A bachelor's degree in a related ...

Azure Cloud Engineer

Chandler, AZ · On-site

$80 - $95/hr

... Data Migration project - Cloud Business partner unable to identify competent Cloud platform ... Ideal resource will provide LEAD development experience on terraform, AZURE/Microsoft google cloud ...

Senior Data Engineer (20187)

Phoenix, AZ

$97K - $132K/yr

Build and manage data lakes, lakehouses, and warehouses using Microsoft Fabric and Azure services ... Bachelor's or Master's degree in Computer Science, Data Engineering, or related field or relevant ...

Senior Data Engineer (20187)

Phoenix, AZ · On-site

$97K - $132K/yr

Build and manage data lakes, lakehouses, and warehouses using Microsoft Fabric and Azure services ... Bachelor's or Master's degree in Computer Science, Data Engineering, or related field or relevant ...

Senior Data Platform Architect

Scottsdale, AZ · On-site

$67.25 - $89.75/hr

Ensure interoperability and alignment between Azure-native services and Microsoft Fabric ... Collaborate with data engineers, analysts, and application developers to ensure architectural ...

Senior Data Platform Architect

Scottsdale, AZ

$67.25 - $89.75/hr

Ensure interoperability and alignment between Azure-native services and Microsoft Fabric ... Collaborate with data engineers, analysts, and application developers to ensure architectural ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Document component design for developers and for broader communication. * Understand and adopt an ...

Senior Azure DevOps Engineer

Phoenix, AZ · On-site

$129K - $165K/yr

AgreeYa is a global Systems Integrator and is seeking an experienced seeking an experienced Senior DevOps Engineer with strong expertise in Microsoft Azure, Kubernetes, CI/CD automation ...

Showing results 41-60

Microsoft Azure Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

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

As of Aug 14, 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:

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.

Data Engineer - Senior Associate

Pwc

Phoenix, AZ • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
- Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
- Applying data architecture development and database management skills to optimize data solutions
- Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
- Building and managing data lakes and warehouses to support large-scale data storage and retrieval
- Confirming data quality and validation through rigorous testing and performance tuning
- Collaborating with clients to understand their data requirements and deliver actionable insights
- Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
- Implementing data security best practices to protect sensitive information and maintain compliance
- Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
- Supporting the development of data strategies to drive business growth and informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms like Databricks
- Utilizing cloud platforms such as AWS and Microsoft Azure
- Excelling in data architecture development and data modeling
- Implementing data pipeline and data integration strategies
- Navigating complex data environments with Apache Hadoop and Airflow
- Applying critical thinking to solve data-related challenges

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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