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Entry Level Ai Data Engineer Jobs in Arizona (NOW HIRING)

Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly. Stay up to date on the ...

We are seeking a highly analytical and hands-on Data Scientist to join a team building data-driven ... AI-powered solutions using prompt engineering techniques. * Evaluate opportunities to leverage ...

Job Title: AI Engineer Job Location: Phoenix, AZ Job Type: Contract * Develop and implement AI ... data Build and maintain machine learning pipelines for data processing and model deployment Utilize ...

Evaluate data quality, model performance, and AI system limitations while ensuring responsible ... programming languages such as Python and SQL. * Demonstrated experience working with modern AI ...

GEN AI Engineer II

Phoenix, AZ

$114K - $137K/yr

Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field Hands-on experience in building and deploying AI/ML models, focusing on Generative AI ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Collaborate with ML Engineering to productionize models on Azure Technical Environment (Azure AI/ML ... Conduct exploratory data analysis (EDA) on EHR, scheduling, billing, and procedural data to uncover ...

AI Engineer

San Francisco, CA · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... Read data and fix mistakes: diagnose real-world AI failures by going directly into the data, making ...

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... Read data and fix mistakes: diagnose real-world AI failures by going directly into the data, making ...

AI Engineer

Phoenix, AZ

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... Read data and fix mistakes: diagnose real-world AI failures by going directly into the data, making ...

AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

AI Engineer Overview: As an AI Business Engineer, your role will be that of a business embedded ... research and gather data to support project planning and execution. • Prepare technical ...

Sales Engineer - Pacific Mountain

Phoenix, AZ · On-site +1

$225K - $275K/yr

ML/AI, Data Regulatory Frameworks, Privacy and Data Retention programs. * Excellent communication ... Azure Security Engineer Associate * Azure Solutions Architect * CCSP - Certified Cloud Security ...

Showing results 21-40

Entry Level Ai Data Engineer information

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

What are the key skills and qualifications needed to thrive as an entry level AI data engineer, and why are they important?

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

What is the difference between Entry Level Ai Data Engineer vs Data Analyst?

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

Can you be an entry level AI data engineer with no experience?

Entry level AI data engineer roles typically require some foundational knowledge of programming, data management, and machine learning concepts, but many employers are open to candidates with limited experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant skills through online courses, certifications, or internships can improve your chances of qualifying for such positions. Practical experience with tools like Python, SQL, and cloud platforms is often beneficial even at the entry level.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, and gain experience with data processing tools such as Apache Spark or Hadoop. Building a strong foundation in databases, data modeling, and machine learning concepts, along with relevant certifications or coursework, can improve your chances of securing an entry-level position.

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.
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What are popular job titles related to Entry Level Ai Data Engineer jobs in Arizona? For Entry Level Ai Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Engineer jobs in Arizona look for? The top searched job categories for Entry Level Ai Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Ai Data Engineer jobs? Cities in Arizona with the most Entry Level Ai Data Engineer job openings:
Infographic showing various Entry Level Ai Data Engineer job openings in Arizona as of July 2026, with employment types broken down into 66% Full Time, 8% Part Time, and 26% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Job details
Job Role
Specialist Programmer
Career Role
Specialist Programmer
Work Location
Phoenix, AZ, Raleigh, NC, Richardson, TX
State / Region / Province
Arizona, North Carolina, Texas
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
150632BR
Technical Skills 1
Technology|OpenSystem|Python - OpenSystem
Technical Skills 2
Technology|Agentic AI|Agent Engineering
Technical Skills 3
Technology|AI Hyperscalers|AWS Agentic AI Services
Technical Skills 4
Technology|Machine Learning|Generative AI
Technical Skills 5
Technology|DevOps|Continuous delivery - Continuous deployment and release
Overview
The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large-scale technology challenges.The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud-native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI.Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high-quality outcomes. They are expected to demonstrate strong technical depth, sound architectural judgment, and hands-on leadership, while mentoring teams and influencing best practices across programs.The STG unit emphasizes software development excellence, innovation, and continuous upskilling. It offers experienced talent the opportunity to work on transformational initiatives, engage closely with stakeholders, and grow as trusted technology leaders within Infosys' global delivery ecosystem.
In the assigned Job Role of Specialist Programmer, your Area Of Responsibility will be as below:
• Analyze user stories and use cases to ensure accurate understanding for production-ready delivery.
• Contribute to define design specifications and technology frameworks and assist in creation of reusable assets to enhance productivity and support complex technology projects.
• Deliver high-quality, optimized and efficient code across applications and databases, engage in debugging complex routines and build automation.
• Support the team to foster a robust technical environment and ensure error-free coding.
• Participation in knowledge transfer sessions and assist in utilizing reverse engineering methodologies to support the transition process.
• Assist in deploying solutions for future projects exploring new technologies through initial prototypes.
• Facilitate adoption of emerging technologies through POC initiatives aligned to business needs.
• Support in implementation of technical services to meet quality service (QoS) requirements
• Contribute to development of reusable assets with specific focus on productivity improvement and support resolution of critical production issues.
• Interface with customers during warranty support to ensure issues are fixed in a timely manner.
• Address technical issues during testing to ensure a reliable, production-ready codebase.
• Assist in mitigating risks by flagging them and support timely resolution in co-ordination with the team.
• Fix issues during testing phases to ensure error-free, clean releases.
Your contribution to the team:
A knack of designing and developing scalable, high-quality and optimized solutions that meet complex business needs. The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment-ready strategies. The ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity. Strong problem solving mindset to debug complex technical issues and deliver error-free and reliable outcomes. Commitment to quality, performance and risk management, ensuring resilient and efficient project delivery. Proactive collaboration with internal team and client to drive knowledge sharing, continuous improvement and innovation.
Required Skill and Experience
Experience in developing and applying generative AI models.
Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP)
Proficiency in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.
Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis (depending on the specific focus of the company).
Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals.
Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment.
Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly.
Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities.
Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability.
Preferred Skill and Experience
Experience in cloud-based platforms like OpenShift, AWS, GCP, Azure
Experience in Open-Source tools and technologies
Consistent score in Coding sites like Hackerrank, CodeChef etc.
Industry-acclaimed External Certifications, if applicable
Active participation in Technology forums
Contribution to Open-Source Community.
Effective collaboration and communication skills
Excellent problem-solving skills and a strong analytical mind.
Experience working in a collaborative and fast-paced environment.
Additional Required Qualifications
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.