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Data Engineer With Ai Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Title: Data Engineer Location: Phoenix, AZ (Day 1 Onsite) Job Type: Contract - Long Term ... Support AI/ML and GenAI teams with data requirements, vector databases, embeddings, and RAG ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Gen AI Engineer with Python We are looking for a Gen AI Engineer with strong expertise in Python ... The ideal candidate will have hands-on experience in preparing and engineering enterprise data for ...

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Big Data Engineer with Java Location: Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big ...

GCP Data Engineer Experience : 6 to 9 Years Location : Phoenix, AZ, USA (Onsite) We are seeking an ... AI/ML Alignment: Partner with cross-functional teams to support and integrate data models designed ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... with Python web frameworks such as Django or Flask Company : "Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent ...

Data Engineers with Lumi

Phoenix, AZ · On-site

$113K - $136K/yr

... Data Engineer with a solid experience of building Bigdata, Google Cloud Platform Cloud based ETL Pipelines and Spark applications, strong problem-solving skills, articulate communications, and a ...

Big Data Engineer with GCP Responsibilities: • Build and maintain data pipelines on GCP. • Optimize SQL queries and data models in BigQuery. • Use Python for data processing and automation. • ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

You will work closely with the Head of Data Engineering and cross-functional partners across Product, Engineering, Analytics, and AI Systems to improve the quality, reliability, and usability of ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note ... with solutions. Thanks & Regards Akhil akhil@tror.ai

Data Engineer

Phoenix, AZ · On-site

$55 - $65/hr

... and AI initiatives. Responsibilities * Design ETL/ELT pipelines * Build data integrations ... Partner with analytics teams * Improve data quality and governance Qualifications * 3+ years of ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... and AI initiatives. Responsibilities * Design ETL/ELT pipelines * Build data integrations ... Partner with analytics teams * Improve data quality and governance Qualifications * 3+ years of ...

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Data Engineer With Ai information

What is the difference between Data Engineer With Ai vs Data Engineer?

AspectData Engineer With AiData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI/ML toolsBachelor's in CS, Data Science, or related; strong SQL and programming skills
Work EnvironmentData teams, AI/ML projects, cloud platformsData pipelines, database management, cloud environments
Employer & Industry UsageTech companies, AI startups, data-driven organizationsFinance, healthcare, tech, and other industries
Common Search & Comparison IntentUnderstanding AI integration in data engineeringGeneral data engineering roles and skills

Data Engineer With Ai professionals focus on integrating AI and machine learning into data pipelines, requiring knowledge of AI tools and algorithms. Data Engineers primarily build and maintain data infrastructure. While both roles share foundational skills, Data Engineer With Ai emphasizes AI/ML integration, making it suitable for organizations leveraging AI-driven insights.

Does a data engineer work with AI?

A data engineer with AI expertise works with large datasets, data pipelines, and tools like SQL, Python, and cloud platforms to support AI and machine learning projects. They prepare and manage data that AI models require for training and deployment, often collaborating with data scientists and AI engineers.

What are popular job titles related to Data Engineer With Ai jobs in Arizona?

For Data Engineer With Ai jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Engineer With Ai jobs in Arizona look for?

The top searched job categories for Data Engineer With Ai jobs in Arizona are:

What cities in Arizona are hiring for Data Engineer With Ai jobs?

Cities in Arizona with the most Data Engineer With Ai job openings:

Infographic showing various Data Engineer With Ai 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.

Data Engineer

Phoenix, AZ • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees

$113K - $136K/yr

Full-time

Posted 22 days ago


Job description

Job Title: Data Engineer
Location: Phoenix, AZ (Day 1 Onsite)
Job Type: Contract - Long Term
Experience: 5+ years
Job Overview
Our client is seeking an experienced Data Engineer with deep expertise in database architecture, cloud technologies, and data engineering. The ideal candidate will have hands-on experience building scalable data pipelines and data platforms, strong SQL and data modeling skills, Python proficiency, and exposure to AI/ML and Generative AI technologies. This role collaborates closely with application architects, cloud engineers, data scientists, and development teams to deliver reliable, secure, and high-performance data solutions.
Key Responsibilities
  • Design and define enterprise-level database architectures, standards, patterns, and best practices
  • Evaluate and select relational, NoSQL, and cloud-native database technologies based on business requirements
  • Design scalable solutions covering data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery
  • Optimize database performance through query tuning, indexing, partitioning, and capacity planning
  • Establish database security standards including encryption, access controls, auditing, and compliance
  • Use Python for scripting, automation, data processing, and validation tasks
  • Support AI/ML and GenAI teams with data requirements, vector databases, embeddings, and RAG patterns
  • Create and maintain architecture diagrams, technical documentation, and design decisions
  • Provide technical leadership, architecture reviews, and mentoring to engineering teams
Required Skills
  • Strong experience in database architecture, database engineering, or database administration
  • Deep understanding of relational database concepts - SQL, data modeling, normalization, indexing, transactions, performance optimization
  • Experience with PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent platforms
  • Hands-on experience with AWS, Azure, or GCP managed database services
  • Basic to intermediate Python skills for scripting, automation, and data processing
  • Experience designing or supporting database migration and modernization initiatives
  • Understanding of cloud architecture - scalability, high availability, security, monitoring, and disaster recovery
Preferred Skills
  • Familiarity with AI/ML and Generative AI - vector databases, embeddings, semantic search, LLMs, and RAG
  • Experience with Infrastructure as Code and DevOps/CI/CD practices
  • Knowledge of database observability, monitoring, and automated operations
  • Experience with data governance, security, privacy, and regulatory requirements
  • Exposure to AI/ML platforms and cloud-based AI services
  • Experience supporting large-scale, high-volume, highly available enterprise systems
Location & Work Model
Phoenix, AZ - Day 1 Onsite required.
Engagement Details
Long-term contract engagement. To apply, please share your updated resume along with your availability and location details.