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Python Junior Jobs in Arizona (NOW HIRING)

Deloitte

Python Developer

Tempe, AZ · Hybrid

$48.25 - $66.25/hr

Python Developer Are you an experienced, passionate pioneer in technology who wants to work in a ... Mentor junior engineers and contribute to knowledge sharing within the team. Communicate regularly ...

AIAEC LLC

Senior Python Backend Engineer

Phoenix, AZ · On-site

Mentor junior developers, conduct rigorous code reviews, and drive engineering best practices (CI/CD, TDD, and Documentation). Tech Stack: Python (FastAPI), Docker, Azure (preferred), OpenTelemetry ...

Verra Mobility

Senior SQL Database Administrator

Mesa, AZ · Hybrid

$49.25 - $68/hr

... junior DBAs. Essential Responsibilities: * Lead database architecture & strategy * Design ... Develop automation using PowerShell, Python, or similar tools to streamline operations and reduce ...

Rincon Research Corporation

Sr. Software Engineer

Tucson, AZ · On-site

$113K - $150K/yr

... Python for engineering and scientific applications in LINUX environments • Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in ...

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Python Junior information

See Arizona salary details

$22.4K

$82.9K

$128.1K

How much do python junior jobs pay per year?

As of Jul 8, 2026, the average yearly pay for python junior in Arizona is $82,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $81,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Python Junior developers during their first year on the job?

Python Junior developers often encounter challenges such as understanding large codebases, managing version control with tools like Git, and adapting to team workflows. They may also need to improve their debugging skills and learn to write clean, maintainable code that meets team standards. Regular communication with senior developers and proactively seeking feedback can help overcome these hurdles and accelerate professional growth.

What is the difference between Python Junior vs Python Developer?

AspectPython JuniorPython Developer
Required CredentialsBasic programming knowledge, often a diploma or bootcampMore experience, often a degree in CS or related field
Work EnvironmentEntry-level projects, supervised tasksFull project responsibilities, collaborative teams
Industry UsageInternships, junior roles in tech companiesMid-level roles across industries like finance, tech, healthcare

The main difference between a Python Junior and a Python Developer lies in experience and responsibilities. Python Juniors typically have basic skills and work under supervision, while Python Developers handle more complex tasks independently. Employers seek Python Juniors for entry-level positions, with opportunities to grow into full Python Developers as skills develop.

What are the key skills and qualifications needed to thrive as a Python Junior, and why are they important?

To thrive as a Python Junior, you need a good grasp of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or a related field. Familiarity with version control systems like Git, code editors (e.g., VS Code), and basic understanding of frameworks such as Django or Flask is often expected. Strong communication, willingness to learn, and teamwork are important soft skills that set candidates apart. These skills and qualities are essential for effectively contributing to projects, collaborating with team members, and growing within a technical environment.

What are Python Juniors?

Python Juniors are entry-level software developers who specialize in using the Python programming language. They typically have foundational knowledge of Python and basic software development principles, and may work on tasks such as writing simple scripts, debugging code, or supporting more experienced developers on larger projects. Python Juniors are often recent graduates or individuals transitioning into software development, and their role offers opportunities to learn and grow their skills in real-world settings.
What are the most commonly searched types of Python jobs in Arizona? The most popular types of Python jobs in Arizona are:
What are popular job titles related to Python Junior jobs in Arizona? For Python Junior jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Python Junior jobs in Arizona look for? The top searched job categories for Python Junior jobs in Arizona are:
What cities in Arizona are hiring for Python Junior jobs? Cities in Arizona with the most Python Junior job openings:
Python Junior jobs near you
Python Developer

Python Developer

Deloitte

Tempe, AZ • Hybrid

$48.25 - $66.25/hr

Other

Posted 9 days ago

Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

72nd of 146 rated financial services

Job description

Python Developer

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Python Developer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities  

  • Build and orchestrate LLM workflows in Python using LangChain/LangGraph, including tool/function calling, structured outputs, error handling, and performance/cost tuning.
  • Design and operate RAG pipelines: data ingestion/chunking, embeddings + vector search, retrieval/reranking, grounding/citation, and evaluation to reduce hallucinations.
  • Implement multi-agent and memory systems: agent roles/handoffs, state management, short/long-term memory persistence, conversational checkpoints, and guardrails/observability in production.
  • Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for cloud architectures, configurations, and operational procedures. Mentor junior engineers and contribute to knowledge sharing within the team. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Required Qualifications

  • 1+yrs Python (strong proficiency)
  • 1+yrs LangChain & LangGraph
  • 1+yrs RAG (Retrieval-Augmented Generation)
  • Multi-agent systems
  • Memory systems (long-term/short-term, persistence, conversational checkpoints). A strong commitment to Site Reliability Engineering (SRE) principles and practices, including operational ownership
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred Qualifications

  • Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer).
  • Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions).
  • Familiarity with configuration management tools like Ansible.
  • Experience with database services (relational and NoSQL) in the cloud.
  • Knowledge of disaster recovery and business continuity strategies in a multi-cloud environment.
  • Experience with GitOps principles and tools.
  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

Qualifications:

Python Developer

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Python Developer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities  

  • Build and orchestrate LLM workflows in Python using LangChain/LangGraph, including tool/function calling, structured outputs, error handling, and performance/cost tuning.
  • Design and operate RAG pipelines: data ingestion/chunking, embeddings + vector search, retrieval/reranking, grounding/citation, and evaluation to reduce hallucinations.
  • Implement multi-agent and memory systems: agent roles/handoffs, state management, short/long-term memory persistence, conversational checkpoints, and guardrails/observability in production.
  • Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for cloud architectures, configurations, and operational procedures. Mentor junior engineers and contribute to knowledge sharing within the team. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Required Qualifications

  • 1+yrs Python (strong proficiency)
  • 1+yrs LangChain & LangGraph
  • 1+yrs RAG (Retrieval-Augmented Generation)
  • Multi-agent systems
  • Memory systems (long-term/short-term, persistence, conversational checkpoints). A strong commitment to Site Reliability Engineering (SRE) principles and practices, including operational ownership
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred Qualifications

  • Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer).
  • Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions).
  • Familiarity with configuration management tools like Ansible.
  • Experience with database services (relational and NoSQL) in the cloud.
  • Knowledge of disaster recovery and business continuity strategies in a multi-cloud environment.
  • Experience with GitOps principles and tools.
  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

Education:Bachelor's DegreeEmployment Type:

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