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Cloud Data Engineer Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ ยท 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 ยท On-site

$113K - $136K/yr

Data Engineer Location Hyderabad, India (Hybrid) Employment Type Full-Time Experience 3-7 Years ... Work with cloud-based data platforms and big data technologies. * Monitor, troubleshoot, and ...

Software Engineer 4

Chandler, AZ ยท On-site

$69 - $74/hr

Lead Cloud Data Platform Engineer (AI & Data Engineering) We are not accepting C2C or 1099 arrangements. Location: Chandler, AZ; Charlotte, NC; Minneapolis, MN; Irving (Las Colinas), TX Employment ...

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Build and optimize cloud-based data lakes and data platforms with a focus on scalability, performance, and reliability * Develop data engineering and analytics solutions using modern cloud ...

Data Engineer

Phoenix, AZ ยท 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 ...

Data Engineer

Globe, AZ ยท On-site

$108K - $130K/yr

As a data engineer, you're at the forefront of the data movement, bridging the gap between raw ... Exploring the potential of cloud-native data solutions and multi-cloud strategies to optimize cost ...

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and ... Experience working within cloud-based data platforms (Azure preferred) Preferred Qualifications

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data ...

Data Engineer

Scottsdale, AZ ยท On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and ... Experience working within cloud-based data platforms (Azure preferred) Preferred Qualifications

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

Strong understanding of cloud-based data infrastructure, including AWS, Terraform, CI/CD ... engineering productivity while maintaining trust, accuracy, and governance. * Familiar with ...

New

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud ...

Showing results 21-40

Cloud Data Engineer information

See Arizona salary details

$21

$58

$81

How much do cloud data engineer jobs pay per hour?

As of Aug 7, 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 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 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 does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and storage solutions in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data security, and optimize data workflows to support analytics and business intelligence. Proficiency in programming, database management, and cloud services is essential for this role.

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 most commonly searched types of Cloud Data Engineer jobs in Arizona? The most popular types of Cloud Data Engineer jobs in Arizona are:
What are popular job titles related to Cloud Data Engineer jobs in Arizona? For Cloud Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Cloud Data Engineer jobs in Arizona look for? The top searched job categories for 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, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,893 per year, or $58.6 per hour.

Staff Data Engineer

Choice Hotels International

Scottsdale, AZ โ€ข Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Job description

** This role is not eligible for sponsorship AND is four days onsite hybrid at our N. Scottsdale office **

Who are we looking for?

Choice Hotels has an exciting new opportunity as a Staff Data Engineer in theSkyTouch Technology division. SkyTouch Technology, is an independently operated division of Choice Hotels that provides the most widely used cloud-based (SaaS) hotel property management system. As a key member of our SkyTouch Software Engineering - Data, you will drive enterprise-wide impact by shaping scalable, reliable data architectures and standards that enable teams to deliver trusted data, accelerate innovation, and support long-term business strategy.

Are you a systems-level data engineer who thinks beyond individual pipelines to shape enterprise-wide data architecture and standards? Do you thrive on influencing technical direction and enabling multiple teams to succeed at scale?The #SkysTheLimit when you #MakeItYourChoice! We encourage you to apply today!

Your Responsibilities

  • Define and evolve the long-term data architecture and technical standards across teams and platforms
  • Design and oversee highly scalable, resilient, and cost-efficient data systems using cloud technologies (e.g., AWS)
  • Make principled tradeoffs between AWS-managed services and open technologies (e.g., Spark, Flink, Iceberg) to ensure long-term scalability and maintainability.
  • Lead complex, cross-domain data initiatives that span multiple teams, systems, and business functions
  • Serve as a technical authority and escalation point for complex data engineering challenges and architectural decisions
  • Establish best practices for data quality, reliability, observability, security, and governance across the organization
  • Drive alignment on data modeling, batch and real-time integration patterns, and platform usage to reduce duplication and technical debt
  • Partner with engineering, analytics, and business leaders to translate strategic goals into technical data solutions
  • Mentor senior engineers and influence technical growth through design reviews, architecture forums, and technical guidance
  • Use an AI-first approach to mitigate systemic risks, improve engineering productivity focusing on automation and operational efficiency
  • Balance near-term delivery with long-term platform health, scalability, and sustainability

Your Experience, Skills & Competencies

  • Bachelor's degree in related field Computer Science, Information Systems, Computer Engineering or equivalent experience
  • Minimum of 8+ years of experiencein data engineering, software engineering, or platform engineering roles.
  • Proven experience designing and evolving large-scale, cloud-based data platforms in AWS.
  • Experience leading cross-team, multi-system data initiatives with long-term architectural impact
  • Demonstrated ownership of mission-critical production data systems
  • Experience influencing technical direction across teams without direct people management
  • Expert-level knowledge of cloud data architectures and AWS data services
  • Advanced data modeling and data warehousing design expertise.
  • Acts as a trusted technical authority, guiding architectural decisions, mentoring senior engineers, and influencing outcomes across teams.
  • Strong programming skills (Python, SQL, and/or Spark)
  • Deep understanding of distributed systems, performance tuning, and scalability
  • Infrastructure-as-code, CI/CD, and automation expertise.
  • Ability to design scalable, fault-tolerant, and cost-efficient data architectures
  • Strong understanding of distributed systems, data partitioning, and performance tuning
  • Expertise in data quality, observability, and reliability practices
  • Knowledge of data governance, security, and compliance best practices
  • Strong debugging and root-cause analysis skills across data pipelines and cloud infrastructure.
  • Designing for reliability, observability, fault tolerance, and cost efficiency at scale
  • Implementing organization-wide standards for data quality, security, and governance
  • Identifying and reducing technical debt across data platforms
  • Experience applying AI/GenAI in production to engineering workflows, automation, data quality, or developer productivity
  • Demonstrates key competencies to include managing complexity, valuing differences, and cultivating innovation

Your Team

This is an individual contributor role that will report to the Manager of Software Engineering - Data. You will have 14peer teammates and collaborate with cross functional departments on a regular basis.

**This role is not eligible for sponsorship**

Choice prioritizes our associate wellbeing by offering a comprehensive benefits program that is both competitive and flexible to help you achieve your wellbeing goals - here are just a few:

  • Competitive compensation and benefits, including medical, dental, and vision coverage
  • Leave and paid time-off for holidays, vacation, personal, family, volunteer, sick, jury duty, bereavement, military, and religious observance
  • Financial benefits for retirement and health savings
  • Employee recognition programs
  • Discounts at Choice hotels worldwide

About Choice

Choice Hotels International, Inc. (NYSE: CHH), is one of the largest lodging franchisors in the world. With 7,500 hotels in 45+ countries and territories, we offer a range of high-quality lodging options in the upper upscale, upper midscale, midscale, extended stay, and economy segments. We're the hotel company for those who choose to bet on themselves - the striver, the dreamer, the entrepreneur - because that's who we are, too.

At Choice, we are united by the simple belief that tomorrow will be even better than today - for associates, our company, and our franchisees. At our worldwide corporate headquarters in North Bethesda, Maryland, at our technology center in Scottsdale, Arizona, and through our associates around the globe, every voice is heard and every idea is listened to, no matter what area of the company they come from. We are united in supporting the entrepreneurial dreams of our thousands of franchise owners, which propels us forward - giving our work at Choice a purpose larger than our business.

Our corporate office locations:

North Bethesda, MD - Located at Pike & Rose, our worldwide headquarters is less than 15 miles from Washington, D.C., one block away from the North Bethesda Metro station, with easy access to I-495, complimentary parking, electronic charging stations, restaurants and retail.

Scottsdale, AZ - Located at the northwest corner of Loop 101, the Scottsdale office is home to our technology, eCommerce and customer service organizations, with easy access to complimentary parking, electronic charging stations, restaurants and retail.

Minneapolis, MN - Select roles are based in our Minneapolis office on Highway 394, near the intersection with Highway 100, only five minutes from downtown.

Field/Remote - Select roles designated as field/remote will require associates to work from a home office, connecting virtually with Choice team members and leadership on Zoom, with possible required travel depending on the role.

Choice's Cultural Values

Welcome and Respect Everyone | Be Bold | Be Quick | Listen | Be Curious | Show Integrity

Choice's Leadership Principles

Act with Intention | Lead with Authenticity | Grow & Deliver