AI Data Engineer Jobs in Arizona
AI Data Engineer jobs in Arizona are in strong demand, with active hiring concentrated in cloud infrastructure, financial technology, semiconductor manufacturing, and healthcare analytics, covering roles from entry-level data pipeline engineers through senior ML platform architects. Phoenix and Scottsdale anchor most of the hiring volume, with Tempe emerging as a secondary hub driven by its university research corridor and technology campus ecosystem. Established employers including Intel, Banner Health, and American Express maintain large Arizona engineering teams that hire ai data engineers with regularity. Find a role that fits below and apply directly.
Find AI Data Engineer JobsOverview
Showing 5 of 64+ AI Data Engineer jobs
Location: Onsite 3 days a wk; Hybrid – Office location is Chandler AZ
Required Pay Scale: $60-65hr W2
MUST BE ABLE TO ATTEND ONSITE INTERVIEW
Due to client requirements this role is only open to USC or GC candidates
Qualifications
- Strong expertise in data integration, transformation, and pipeline development
- Deep experience in data quality frameworks, validation, and monitoring
- Advanced knowledge of data modeling and metadata management
- Experience implementing data governance, lineage, and control frameworks
- Strong understanding of enterprise-scale data processing and optimization
- Solid foundation in supporting AI/ML data requirements and analytics use cases
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, mathematics, Statistics, or related field.
Required Skills
- 5+ years of experience in data engineering with strong focus on data quality and enterprise data platforms.
- Experience enabling AI-ready and analytics-driven data ecosystems
- Proven ability to implement advanced data quality and governance practices
- Strong understanding of integrated data modeling, metadata, and lifecycle management
- Experience designing hybrid data architectures (on-prem and cloud)
- Advanced proficiency in SQL and Python.
- Background in regulated environments with audit and compliance requirements
- Combines expertise in data integration, quality, modeling, and governance to deliver scalable, controlled, and fully traceable data platforms that enable AI-ready and reliable analytics outcomes.
Desired Skills
- Experience operationalizing data stewardship and control processes
- Familiarity with automated data pipeline testing, deployment, and monitoring practices
- Master's degree in a technical or data-related field is a plus
About Matlen Silver
Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works.
Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status.
If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at info@matlensilver.com // 908-393-8600
Location: Onsite 3 days a wk; Hybrid – Office location is Chandler AZ
Required Pay Scale: $60-65hr W2
MUST BE ABLE TO ATTEND ONSITE INTERVIEW
Due to client requirements this role is only open to USC or GC candidates
Qualifications
- Strong expertise in data integration, transformation, and pipeline development
- Deep experience in data quality frameworks, validation, and monitoring
- Advanced knowledge of data modeling and metadata management
- Experience implementing data governance, lineage, and control frameworks
- Strong understanding of enterprise-scale data processing and optimization
- Solid foundation in supporting AI/ML data requirements and analytics use cases
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, mathematics, Statistics, or related field.
Required Skills
- 5+ years of experience in data engineering with strong focus on data quality and enterprise data platforms.
- Experience enabling AI-ready and analytics-driven data ecosystems
- Proven ability to implement advanced data quality and governance practices
- Strong understanding of integrated data modeling, metadata, and lifecycle management
- Experience designing hybrid data architectures (on-prem and cloud)
- Advanced proficiency in SQL and Python.
- Background in regulated environments with audit and compliance requirements
- Combines expertise in data integration, quality, modeling, and governance to deliver scalable, controlled, and fully traceable data platforms that enable AI-ready and reliable analytics outcomes.
Desired Skills
- Experience operationalizing data stewardship and control processes
- Familiarity with automated data pipeline testing, deployment, and monitoring practices
- Master's degree in a technical or data-related field is a plus
About Matlen Silver
Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works.
Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status.
If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at info@matlensilver.com // 908-393-8600
See All 64 AI Data Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
AI Data Engineer Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring
- Axon3
- Amazon3
- HonorHealth3
- Western Alliance Bank3
- Arizona State University3
Top Industries Hiring
- Technology & Software8
- Education7
- Banking & Financial Services6
- Retail5
- Insurance4
What Arizona Employers Look For
The qualifications that appear most often in AI data engineer jobs across Arizona.
- Bachelor's degree in computer science, data engineering, or a closely related technical field
- Proficiency building and maintaining data pipelines using tools such as Apache Spark or dbt
- Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing and optimizing SQL and NoSQL databases at production scale
- Strong programming skills in Python, with exposure to Scala or Java considered a plus
AI Data Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a ai data engineer in Arizona?
There is no state-issued license required to work as an ai data engineer in Arizona, so the path runs through education and demonstrated technical skill. Most Arizona employers expect a bachelor's degree in computer science, data science, or software engineering, though candidates from mathematics or electrical engineering backgrounds are regularly hired. Building a portfolio of end-to-end data pipeline and ML model deployment projects, combined with cloud certifications from AWS or Microsoft Azure, gives Arizona applicants a strong competitive edge.
How much do AI data engineers make in Arizona?
AI data engineers in Arizona earn a median of about $107,240 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,200 for the lowest 10% to over $161,730 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in Arizona?
Employers hiring ai data engineers in Arizona right now include Axon, Amazon, and HonorHealth, based on current listings on Migrate Mate as of June 2026. Arizona's mix of semiconductor firms, national financial services companies, and large healthcare systems means ai data engineer openings appear across multiple industries rather than clustering in a single sector.
Which Arizona cities have the most ai data engineer jobs?
Phoenix, Tempe, and Scottsdale lead Arizona for ai data engineer openings. Phoenix dominates by volume given its concentration of corporate headquarters, financial technology firms, and hospital systems, while Scottsdale and Tempe attract engineering hiring through technology campuses and proximity to Arizona State University's research partnerships, making the broader metropolitan area by far the densest market in the state.
Are there remote ai data engineer jobs in Arizona?
Yes, and more than most fields. About 34% of ai data engineer openings tied to Arizona are remote or hybrid as of June 2026, reflecting the desk-based and collaborative-tool-driven nature of the work. Data pipeline development, model monitoring, and MLOps engineering are the sub-areas most consistently offered on a fully remote basis, while roles requiring close coordination with on-site infrastructure or data center hardware tend to require in-office or hybrid schedules.
How can I get hired as a ai data engineer in Arizona with little or no experience?
The most realistic entry path is an associate data engineer or junior data analyst role, which large Arizona employers such as Intel, Honeywell, and Banner Health post specifically for recent graduates. Arizona State University and University of Arizona both have direct recruiting pipelines into local technology teams for graduating seniors. Building two or three public GitHub projects that demonstrate data pipeline construction, cloud deployment, and at least one machine learning workflow is the credential that moves a candidate without professional history past initial screening.
Where can I find and apply to ai data engineer jobs in Arizona?
You can find and apply to ai data engineer jobs in Arizona on Migrate Mate, which lists current Arizona openings from employers actively hiring in the state. Search the listings for roles that match your experience level and technical stack, then apply directly to the ones that fit.
See All 64 AI Data Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find AI Data Engineer Jobs