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Cloud Data Engineer Jobs in Arizona (NOW HIRING)

Fabric Data Engineer

Scottsdale, AZ · On-site

$120 - $180/hr

Cloud modernization: Help move on-premise relational data into OneLake and retire legacy data ... AI-augmented engineering: Design pipelines that support Retrieval-Augmented Generation, including ...

New

Fabric Data Engineer

Scottsdale, AZ · Hybrid

$115K - $138K/yr

Cloud modernization: Help move on-premise relational data into OneLake and retire legacy data ... AI-augmented engineering: Design pipelines that support Retrieval-Augmented Generation, including ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Experience working within Azure cloud environments. * Experience using Git and Azure DevOps or similar source control and CI/CD platforms. * Working knowledge of Power BI datasets and data modeling ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Experience working within Azure cloud environments. * Experience using Git and Azure DevOps or similar source control and CI/CD platforms. * Working knowledge of Power BI datasets and data modeling ...

Data Engineer

Phoenix, AZ · On-site

$90 - $130/hr

Experience working within Azure cloud environments. * Experience using Git and Azure DevOps or similar source control and CI/CD platforms. * Working knowledge of Power BI datasets and data modeling ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Experience working within Azure cloud environments. * Experience using Git and Azure DevOps or similar source control and CI/CD platforms. * Working knowledge of Power BI datasets and data modeling ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Experience working within Azure cloud environments. * Experience using Git and Azure DevOps or similar source control and CI/CD platforms. * Working knowledge of Power BI datasets and data modeling ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

This role collaborates closely with application architects, cloud engineers, data scientists, and development teams to deliver reliable, secure, and high-performance data solutions. Key ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Intelliswift, an LTTS Company, is seeking a Data Engineer to build optimal cloud-based data pipelines and automated data ingestion processes. The role involves developing and deploying cloud-based ...

Data Engineer

Phoenix, AZ · On-site

$40 - $42/hr

A client of Innova Solutions is immediately hiring for a Data Engineer position Position type ... Proven skills with data migration from on-prem to a cloud native environment * Proven experience ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Sr Databricks Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Showing results 21-40

Cloud Data Engineer information

See Arizona salary details

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How much do cloud data engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for cloud data engineer in Arizona is $58.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $66.78 per hour, depending on experience, location, and employer.

What is a cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.

What are the key skills and qualifications needed to thrive as a cloud data engineer?

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

What is the difference between Cloud Data Engineer vs Data Analyst?

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and infrastructure in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data storage, and ensure data quality and security to support analytics and business decision-making.

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

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

What cities in Arizona are hiring for Cloud Data Engineer jobs?

Cities in Arizona with the most Cloud Data Engineer job openings:

Infographic showing various Cloud 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 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $121,893 per year, or $58.6 per hour.

Mid-Level DATA ENGINEER: Microsoft Power Platform & AI Copilot Studio (HYBRID)

State Farm

Tempe, AZ • On-site

$86 - $120/hr

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,564 frontline employees who took The Breakroom Quiz

241st of 315 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. We're moving with urgency to become a Next Gen Good Neighbor, with technology that strengthens human connections and enhances the customer experience. As an employee, you'll spend less time navigating systems and more time applying judgment, empathy, and expertise in the moments that matter most.

HYBRID

Qualified candidates must live within close proximity to a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment. HUB LOCATIONS: Bloomington, IL; Richardson, TX; Tempe, AZ; or Dunwoody, GA.

SPONSORSHIP

Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.

Responsibilities

State Farm is building the next generation of AI-powered business solutions, and data is at the center of that transformation. The Power Platform team is looking for a Data Engineer who is passionate about building modern, scalable data solutions that enable automation, analytics, AI-powered experiences, and intelligent applications across the enterprise.

Our team works closely with Microsoft engineering and product teams to evaluate and enable emerging technologies. In this role, you'll help design and deliver scalable, secure, and governed data solutions that support Microsoft Power Platform, AI, Microsoft Fabric, Dataverse, and other cloud technologies.

This is an opportunity to help shape the data foundation supporting modern application development, automation, analytics, and AI at enterprise scale.

  • Design, build, and maintain scalable data pipelines, integrations, and data solutions.
  • Develop reusable data products that support AI, Power Platform, analytics, reporting, and enterprise automation.
  • Engineer data solutions that support AI and generative AI use cases, including the preparation, integration, and delivery of trusted enterprise data for intelligent applications.
  • Partner with software engineers, architects, citizen developers, and business partners to design and deliver trusted data solutions.
  • Transform, cleanse, profile, and validate structured, semi-structured, and unstructured data from enterprise and external sources.
  • Apply DataOps practices including source control, automation, monitoring, testing, continuous integration and continuous delivery (CI/CD), and deployment.
  • Design solutions that integrate data from application programming interfaces (APIs), databases, software-as-a-service (SaaS) platforms, and enterprise systems.
  • Support secure, governed, and compliant data solutions aligned with enterprise standards.
  • Contribute to modern cloud data architecture and evaluate emerging technologies that improve engineering productivity and platform capabilities.
  • Help establish reusable patterns and engineering best practices for enterprise data solutions.
Why Join Our Team?
  • Work with Microsoft engineering and product teams as we evaluate and enable emerging technologies.
  • Help shape the future of AI, Power Platform, data, and enterprise automation at State Farm.
  • Build reusable platform capabilities that enable thousands of builders across the organization.
  • Contribute to modern enterprise architecture and engineering practices.
  • Join a collaborative team focused on innovation, enablement, experimentation, and continuous learning.
Qualifications

We Are Seeking Candidates With:

  • 3+ years of professional data engineering experience, including designing and building production data pipelines, integrations, or data solutions.
  • 3+ years of experience with SQL, including querying, data transformation, and data modeling.
  • 2+ years of experience using Python for data engineering, automation, data transformation, or pipeline development.
  • 2+ years of experience with modern cloud data technologies, such as Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Snowflake, or comparable cloud data platforms.
  • Experience applying modern DataOps and software engineering practices, including version control, automated testing, CI/CD, and deployment.
  • Experience working with structured, semi-structured, and unstructured data.
  • Strong analytical and problem‑solving skills with the ability to independently investigate and solve technical problems.
  • Strong written and verbal communication skills and the ability to collaborate across technical and business teams.
Additional Skills That Will Help You Stand Out

Experience with one or more of the following is beneficial:

  • Microsoft Power Platform
  • Databricks
  • Microsoft Dataverse
  • Microsoft Fabric and OneLake
  • Microsoft Graph
  • Microsoft Foundry or Azure OpenAI
  • Data engineering supporting AI or generative AI applications
  • Lakehouse architecture
  • Power BI semantic models and enterprise analytics
  • REST APIs and event-driven architectures
  • Microsoft Azure certifications
Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $85,500 - $120,000
    • Starting salary will be based on skills, background, and experience. *High end of the range limited to applicants with significant relevant experience*
  • Potential yearly incentive pay up to 14% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

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