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Data Engineering Jobs in Arizona (NOW HIRING)

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

Serves as a technical leader in data engineering, driving best practices in pipeline design, data modeling, and platform optimization. Key Responsibilities: * Design, develop, and maintain end-to-end ...

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions * Share technical knowledge with coworkers and contribute to continuous ...

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions * Share technical knowledge with coworkers and contribute to continuous ...

Data Engineer

Tempe, AZ

$109K - $131K/yr

Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions * Share technical knowledge with coworkers and contribute to continuous ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Serves as a technical leader in data engineering, driving best practices in pipeline design, data modeling, and platform optimization. Key Responsibilities: * Design, develop, and maintain end-to-end ...

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation. * Utilize Apache Airflow and similar tools ...

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation. * Utilize Apache Airflow and similar tools ...

Sr Databricks Data Engineer

Tempe, AZ

$109K - $131K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

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Showing results 1-20

Data Engineering information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do data engineering jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data engineering in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Arizona? The most popular types of Data Engineering jobs in Arizona are:
What are popular job titles related to Data Engineering jobs in Arizona? For Data Engineering jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Data Engineering jobs? Cities in Arizona with the most Data Engineering job openings:
Data Engineer

$114K - $137K/yr

Full-time

Posted 3 days ago


Troon rating

6.2

Company rating: 6.2 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

15th of 26 rated golf clubs


Job description

Troon’s Corporate office, located in Scottsdale, AZ, is pleased to announce an excellent career opportunity for a Data Engineer! We are seeking a highly motivated individual who is eager to learn, contribute, and advance their career within a rapidly growing organization. The ideal candidate will bring a strong commitment to professional development and a desire to succeed in a dynamic corporate environment.

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across bronze, silver, and gold medallion layers. Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in pipeline design, data modeling, and platform optimization.

Key Responsibilities: 

  • Design, develop, and maintain end-to-end data pipelines to ingest data from internal and external systems into Azure data platforms
  • Build and manage data integration processes using tools such as Azure Data Factory, Azure Synapse, and/or Azure Data Lake
  • Implement and enforce medallion architecture (bronze, silver, gold) for structured data refinement and consumption
  • Transform raw data into clean, validated, and enriched datasets suitable for analytics and business use
  • Develop and optimize data models and transformation logic for performance and scalability
  • Integrate data from APIs, SaaS platforms, databases, and third-party systems
  • Ensure data quality, consistency, and integrity across all pipeline stages
  • Implement monitoring, alerting, and logging for pipeline performance and failures
  • Collaborate with data analysts, data scientists, and product teams to support reporting and advanced analytics needs
  • Maintain and optimize data storage solutions (e.g., Azure Data Lake, Synapse) for cost and performance efficiency
  • Establish and follow best practices for version control, CI/CD, and deployment of data pipelines
  • Document data flows, transformations, and system dependencies

Required Qualifications:

  • 3+ years of experience in data engineering, ETL/ELT development, or data integration
  • Hands-on experience building and maintaining production-grade data pipelines
  • Experience working within cloud-based data platforms (Azure preferred)

Preferred Qualifications:

  • Experience implementing medallion architecture (bronze/silver/gold layers)
  • Experience integrating multiple enterprise systems (CRM, ERP, SaaS platforms)
  • Experience supporting analytics or BI environments

Required Knowledge and Skills:

  • Strong proficiency in SQL and data transformation techniques
  • Experience with Azure data services (Azure Data Factory, Azure Data Lake, Synapse Analytics)
  • Expertise in ETL/ELT pipeline design and orchestration
  • Strong understanding of data modeling (relational and dimensional)
  • Experience working with APIs, file-based ingestion, and streaming data sources
  • Knowledge of data quality, validation, and error-handling techniques
  • Strong problem-solving and troubleshooting skills

Preferred Knowledge and Skills:

  • Experience with PySpark, Spark, or Databricks
  • Familiarity with Delta Lake and lakehouse architectures
  • Experience with CI/CD pipelines and DevOps practices in Azure
  • Knowledge of data governance, lineage, and cataloging tools
  • Experience optimizing performance and cost in cloud environments

Education Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
  • Equivalent combination of education and experience may be considered.

About Troon:

Founded in 1990 and headquartered in Scottsdale, AZ, Troon is the world’s largest professional club management company, that specializes in services in golf, hospitality, and residential communities.With more than 900 locations in 45+ states and 27+ countries, Troon is a leading employer in hospitality.Guided by values that emphasize being infectiously energetic, consciously kind, and humbly prosperous,Troon offers professionals the opportunity to grow and succeed within a globally respected organization.Learn more atwww.troon.com. 


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Troon Golf logo

About Troon Golf

Sourced by ZipRecruiter

Troon started as one facility in 1990 and has since grown to become the world's largest professional club management company. We offer careers around the world at all levels of golf operations, opportunities for professional development, growth opportunities and a comprehensive benefits package. Our goal is to create extraordinary guest and member experiences through personalized service, consistency, and uncompromising attention to detail. For more information about the Troon Experience, please visit

Industry

Fitness and sports centers, hospitality services and traveler accommodation

Company size

10,000+ Employees

Headquarters location

Scottsdale, AZ, US