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Ai Data Engineer Jobs in Arizona (NOW HIRING)

Databricks Data Engineer II

Tempe, AZ ยท On-site

$109K - $131K/yr

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Agentic AI, AI & Data Science Engineer

Tempe, AZ ยท On-site

$109K - $131K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Working within an ...

Sr Databricks Data Engineer

Tempe, AZ ยท On-site

$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 Databricks Engineer ...

By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious AI roadmaps into scalable, production-ready solutions that power onsemi's digital transformation.

Data Engineer

Phoenix, AZ ยท On-site

$104K - $125K/yr

Explore and leverage AI-assisted development tools to improve engineering productivity and solution quality. * Continuously learn and evaluate emerging data platform technologies. Qualifications

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Explore and leverage AI-assisted development tools to improve engineering productivity and solution quality. * Continuously learn and evaluate emerging data platform technologies. Qualifications

Data Engineer

Phoenix, AZ ยท On-site

$104K - $125K/yr

Explore and leverage AI-assisted development tools to improve engineering productivity and solution quality. * Continuously learn and evaluate emerging data platform technologies. * Bachelor's degree ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Explore and leverage AI-assisted development tools to improve engineering productivity and solution quality. * Continuously learn and evaluate emerging data platform technologies. Qualifications

Data Engineer

Phoenix, AZ ยท On-site +1

$113K - $136K/yr

Exposure to or interest in AI-assisted development, automation, metadata-driven frameworks, or agentic AI tooling. * Microsoft certifications related to Fabric, Azure Data Engineering, Power BI, or ...

Lead Data engineer

Chandler, AZ ยท On-site

$116K - $140K/yr

Exposer to Agentic AI frameworks. * Ability to work with Data Engineers in discovering and optimizing bottlenecks in the AI/ML pipeline for real-time or near-real-time applications that consumes ...

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Showing results 1-20

Ai Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do ai data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for ai data engineer in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

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

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What does an AI Data Engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

Which 3 jobs will survive AI?

AI Data Engineers will continue to be in demand as they design, implement, and maintain AI systems, requiring skills in data management, programming, and machine learning. Other roles likely to persist include cybersecurity specialists, who protect systems from evolving threats, and healthcare professionals, especially those involved in patient care and diagnostics, as these fields require human judgment and empathy. These jobs benefit from specialized skills, certifications, and the ability to adapt to technological advancements.

What are some common challenges an AI Data Engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research lead, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in machine learning, deep learning, data engineering, and experience with tools like TensorFlow or PyTorch, often combined with leadership responsibilities and a strong track record of innovation.

What does an AI data engineer do?

An AI data engineer designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence and machine learning models. They work with large datasets, ensure data quality, and use tools like SQL, Python, and cloud platforms to enable efficient data processing and model training.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries like technology or finance.
What are the most commonly searched types of Ai Data Engineer jobs in Arizona? The most popular types of Ai Data Engineer jobs in Arizona are:
What job categories do people searching Ai Data Engineer jobs in Arizona look for? The top searched job categories for Ai Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Ai Data Engineer jobs? Cities in Arizona with the most Ai Data Engineer job openings:
Infographic showing various Ai Data Engineer job openings in Arizona as of July 2026, with employment types broken down into 72% Full Time, 19% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

Sr. Data Engineer - Snowflake & AI Data platform

ITC Infotech (USA), Inc

Tempe, AZ โ€ข On-site

$111K - $133K/yr

Other

Posted 26 days ago


Job description

ITC Infotech is looking for Senior Data Engineer โ€“ Snowflake & AI Data Platform to join our team in Tempe, AZ on hybrid basis.

About Us:

ITC Infotech is a leading global technology services and solutions provider, led by Business and Technology Consulting.

We provides business-friendly solutions to help clients succeed and be future-ready, by seamlessly bringing together digital expertise, strong industry speci๏ฌc alliances and the unique ability to leverage deep domain expertise from ITC Group businesses. We provide technology solutions and services to enterprises across industries such as Banking & Financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality, through a combination of traditional and newer business models, as a long-term sustainable partner.

Role Overview

We are seeking an experienced Snowflake Data Engineer to design, build, and optimize modern cloud-based data platforms. The ideal candidate will have strong expertise in Snowflake, Python, SQL, Airflow, and AI-powered analytics, with a passion for building scalable data products and leveraging modern engineering practices.

Key Responsibilities:

  • You will design and develop scalable Snowflake-based data solutions
  • You will build and optimize ELT/ETL pipelines and data models
  • You will leverage Snowflake Cortex to enable AI-powered analytics and insights
  • You will develop and manage Airflow workflows and orchestration frameworks
  • You will implement Spec-Driven Development using Cursor and AI-assisted engineering
  • You will create Power BI-ready semantic layers and analytics datasets
  • You will drive automation, testing, monitoring, and CI/CD best practices
  • You will collaborate with business and analytics teams to deliver high-quality data products

Experience Required & Education:

  • 8โ€“12 years of experience in Data Engineering and Cloud Data Platforms
  • Bachelor''s/masterโ€™s degree in computer science, Engineering, or related field.

Must-Have:

  • Expert in Snowflake (Architecture, Data Modeling, Performance Tuning, Snowpark, Dynamic Tables, Streams & Tasks)
  • Hands-on experience with Snowflake Cortex (Cortex Analyst, Cortex Search, AI-powered analytics)
  • Strong expertise in Python and advanced SQL
  • Experience building scalable ETL/ELT pipelines
  • Strong knowledge of Apache Airflow for workflow orchestration
  • Experience with Power BI datasets, semantic models, and report optimization
  • Proficient in Cursor IDE and AI-assisted development
  • Hands-on experience with Spec-Driven Development (SDD) and metadata-driven engineering
  • Strong understanding of Git, CI/CD, and DataOps practices
  • Experience integrating data from APIs, SaaS applications, and enterprise systems

Good to Have:

  • Experience with Terraform and Infrastructure as Code
  • Exposure to Datadog or enterprise monitoring tools
  • Experience with AI/GenAI-driven data engineering solutions
  • Knowledge of Azure/AWS cloud platforms
  • Retail, Consumer, or QSR domain experience
  • Experience working in Agile product teams
  • Exposure to modern data platform modernization initiatives

ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women.