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Cloud Data Engineer Jobs in Arizona (NOW HIRING)

GCP Data Engineer

Phoenix, AZ · 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 ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

... within cloud-based data platforms (Azure preferred) • Strong proficiency in SQL and data ... Engineering, or related field Preferred : • Experience implementing medallion architecture ...

Data Engineer Manager

Globe, AZ

$108K - $130K/yr

The Data Engineering Manager is responsible for the designing, building, and maintaining automated ... Strong working knowledge of cloud platforms (AWS preferred; GCP and Azure are a plus), including ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in cloud technologies and cloud computing * Experience using software and computer systems ...

Data Engineer

Mesa, AZ · On-site

$65K/yr

... cloud-based solutions (AWS, Azure, GCP). • Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure. • Knowledge of any of the cloud platforms ...

Data Engineer

Mesa, AZ · On-site

$65K/yr

... cloud-based solutions (AWS, Azure, GCP). • Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure. • Knowledge of any of the cloud platforms ...

Data Engineer

Mesa, AZ · On-site

$65K/yr

... cloud-based solutions (AWS, Azure, GCP). • Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure. • Knowledge of any of the cloud platforms ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Required Skills: ✅ Google Cloud Platform (GCP) GCS DataProc BigQuery Composer / Airflow ✅ Strong experience with: PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development ...

Data Engineer

Mesa, AZ · On-site

$65K/yr

... cloud-based solutions (AWS, Azure, GCP). • Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure. • Knowledge of any of the cloud platforms ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role GCP Data Engineer Location Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5 ... GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark, Python, GCP is ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience ... GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark, Python, GCP is ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience ... GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark, Python, GCP is ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Type: Long-Term Contract Location: Phoenix, AZ (Onsite/Hybrid) Top Skills ... Hadoop , Spark (Batch/Streaming) , Hive , Python , Google Cloud Platform , Shell Scripting , Java ...

New

Immediate Hiring | Python Data Engineer / API Developer We are hiring experienced Python Data ... BigQuery, Composer, DAGs, Cloud Storage Batch and real-time data pipeline development Data quality ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you ...

Senior Data Engineer

Scottsdale, AZ · On-site

$106K - $145K/yr

Engineers at Consumer Cellular design elegant technical solutions for complex product requirements ... Remain current on new cloud data solutions, design patterns, products, and development trends ...

Showing results 41-60

Cloud Data Engineer information

See Arizona salary details

$21

$58

$81

How much do cloud data engineer jobs pay per hour?

As of Aug 22, 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 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 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, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,893 per year, or $58.6 per hour.

$113K - $136K/yr

Full-time

Re-posted 13 days ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.
Requirements
  • 5+ years of experience in data engineering, with at least 3+ years working extensively on GCP.
  • Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.
  • Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud Functions
  • Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
  • Solid understanding of data modeling, partitioning, and schema design for analytical workloads.
  • Familiarity with CI/CD practices, Terraform, and version control (e.g., Git).
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Disclaimer
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.