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Data Engineering Jobs in Arizona (NOW HIRING)

Troon

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 ...

Apex Systems

Lead Data Engineer - AZ, NC

Chandler, AZ · On-site

$65 - $70/hr

You will lead data engineering efforts across enterprise data platforms, focusing on ETL development, cloud migration, and large-scale data processing solutions. This role supports the enterprise ...

New

Paychex

Data Solutions Engineer

Tempe, AZ

$98K - $160K/yr

Data Platform & Databricks Administration - Strong data engineering background with experience designing, building, and supporting data pipelines and cloud data platforms. Hands-on experience ...

Troon Golf

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 ...

Talent Groups

Data Architect

Tempe, AZ · On-site

$62 - $79.75/hr

You will partner with teams across data engineering, governance, analytics, and business operations to build trusted, reusable, and scalable data solutions. Key Responsibilities * Design scalable ...

Vultus Inc

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * 3-7 years of experience in Data Engineering. * Strong programming skills in Python and SQL. * Experience with ...

SkyTouch Solutions, LLC

Staff Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

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 ...

Corning

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or related field; or equivalent combination of education and relevant ...

Corning

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or related field; or equivalent combination of education and relevant ...

Corning

Data Engineer

Tolleson, AZ

$112K - $135K/yr

Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or related field; or equivalent combination of education and relevant ...

kestra

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 ...

kestra

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 ...

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All JobsData Engineering JobsData Engineering Jobs in Arizona

Data Engineering information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do data engineering jobs pay per year?

As of Jul 13, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

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 engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

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 job categories do people searching Data Engineering jobs in Arizona look for? The top searched job categories for Data Engineering jobs in Arizona are:
What cities in Arizona are hiring for Data Engineering jobs? Cities in Arizona with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.
Data Engineer (Snowflake) - Hybrid

Data Engineer (Snowflake) - Hybrid

Cayuse Holdings

Phoenix, AZ • Hybrid

$70 - $75/hr

Full-time

Re-posted 18 days ago

Job description

Overview

JOB TITLE: Data Engineer (Snowflake)

LOCATION: Phoenix, AZ (Hybrid)

EMPLOYEE TYPE: Contractor (1099/C2C)

PAY RATE: $70-75 per hour

**This position is posted for future opportunities. Please submit your application to be considered for similar upcoming roles**

Cayuse Commercial Services (CCS) delivers fresh solutions to business challenges in the technology and business services environment. Services available are application development, business process outsourcing, data services, and professional services. Cayuse helps clients to achieve impactful outcomes such as improved efficiency, reduced cost, increased profitability and accelerated time to market.


Responsibilities

We are seeking a highly skilled Snowflake Data Engineer to join our data engineering team. The ideal candidate will have a deep understanding of Snowflake’s data platform and strong expertise in SQL, Python, and data reporting tools such as Tableau. The Snowflake Data Engineer will be responsible for designing, implementing, and optimizing data pipelines, as well as developing analytics capabilities to support business intelligence and decision-making across the organization. This position requires a collaborative, detail-oriented professional with experience in real-time data ingestion, advanced analytics, and managing complex data environments.

Key Responsibilities:
  • Data Analysis and Reporting: Utilize SQL window functions to perform advanced data calculations, such as running totals, moving averages, and rankings, enabling deeper insights into sales trends and performance metrics.
  • Automated Insights: Prepare and automate detailed real-time reports using Python and SQL, providing actionable insights to stakeholders and enhancing the company’s decision-making processes.
  • Pipeline Development: Develop and optimize data pipelines using Snowpipe and SnowSQL for real-time and batch data ingestion, achieving improved data processing efficiency by 20%.
  • Data Applications Development: Implement Snowpark to build scalable and high-performance data applications using Python, enhancing data manipulation, analysis, and processing capabilities.
  • Data Recovery and Auditing: Leverage Snowflake’s Time Travel features to enable auditing, data recovery, and version control, ensuring data integrity and regulatory compliance.
  • Environment Management: Manage Snowflake's Zero Copy Cloning to create cost-effective development, testing, and staging environments without incurring additional storage costs.
  • Data Visualization: Collaborate with product managers to develop dynamic dashboards on Tableau, enabling tracking of key supply chain metrics and effectively identifying Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs).

Qualifications

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Equivalent work experience may be considered.
  • Proven experience working with Snowflake Data Cloud and its key functionalities, including Snowpark, Snowpipe, and Time Travel.
  • Proficiency in programming with Python for data processing and analytics.
  • Advanced SQL skills, including working with window functions for complex calculations and analysis.
  • Experience developing interactive dashboards with Tableau or similar visualization tools.
  • Strong understanding of data engineering best practices, including data integrity, compliance, and real-time data ingestion techniques.
  • Familiarity with cloud data architecture and concepts such as Zero Copy Cloning and scalable application development.
Preferred Qualifications:
  • Certification in Snowflake or related cloud data platforms (e.g., AWS, Azure, GCP).
  • Experience in supply chain analytics or supporting business systems in a large-scale environment.
  • Strong collaboration skills and ability to work cross-functionally with product managers, analysts, and other engineering teams.

Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.