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Python Government Jobs in Phoenix, AZ (NOW HIRING)

Deloitte

GenAI Data Scientist

Gilbert, AZ

This involves writing code using Python libraries like TensorFlow or PyTorch. The Team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is ...

Deloitte

GenAI Data Scientist

Gilbert, AZ · On-site

This involves writing code using Python libraries like TensorFlow or PyTorch. The Team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is ...

EndoSec LLC

FPGA Engineer

Phoenix, AZ · On-site

$129.10K - $165.80K/yr

Description Apply Now RTL, C/C++, Python, VHDL, Verilog, Tcl, cryptography, hardware, embedded ... S. Government Security Clearance FPGA Engineer The EndoSec FPGA Engineer is responsible for the ...

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How much do python government jobs pay per hour?

As of May 28, 2026, the average hourly pay for python government in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.

What is a Python Government job?

A Python Government job involves using the Python programming language within government agencies for tasks such as data analysis, automation, cybersecurity, and software development. These roles often support public services by improving efficiency, analyzing large datasets, and developing applications for various departments. Positions can be found in federal, state, and local agencies, as well as government contractors. Relevant skills often include data science, machine learning, cybersecurity, and web development, depending on the specific role.

What are the key skills and qualifications needed to thrive in the Python Government position, and why are they important?

To thrive in a Python Developer role within government agencies, candidates need strong Python programming skills, a solid understanding of data analysis, and a background in computer science or related fields. Familiarity with government-approved technologies such as SQL databases, secure coding practices, and certifications like CompTIA Security+ or Certified Information Systems Security Professional (CISSP) are often valued. Excellent problem-solving abilities, attention to detail, and clear communication are crucial soft skills in this environment. These competencies ensure that complex technical solutions comply with regulations, meet high security standards, and support agency goals effectively.

What are some unique challenges of working as a Python Developer in a government setting?

Working as a Python Developer in the government sector presents unique challenges such as navigating strict security protocols and ensuring all solutions comply with complex regulatory requirements. You may work on legacy systems that require careful integration of modern Python applications without compromising stability or security. Collaboration with cross-functional teams—including policy experts, data analysts, and project managers—is common, requiring adaptability and strong communication. These challenges offer valuable experience with large-scale, impactful projects while contributing to public service and often provide clear pathways for career advancement within the agency.
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Python Government jobs near you
Infographic showing various Python Government job openings in Phoenix, AZ as of May 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $121,068 per year, or $58.2 per hour.
GenAI Data Scientist

GenAI Data Scientist

Deloitte

Gilbert, AZ

Other

Posted 22 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services

Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a US Delivery Center Senior Solution Specialist on the team, you will:

  • Work across client teams to develop and architect Generative AI solutions using ML and GenAI
  • Develop and promote standards across the community
  • Evaluate and select appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies
  • Work with leadership and stakeholders to identify AI opportunities and promote strategy.
  • Develop and conduct trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes.
  • Build and prioritize backlog for future machine-learning enabled features to support client business processes.
  • Design and build generative models, selecting the most suitable architecture (e.g., GANs, VAEs) based on the desired output (text, images, code). This involves writing code using Python libraries like TensorFlow or PyTorch.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required: 

  • Bachelor's degree or equivalent experience
  • 6+ years of experience programming in in Python or R with libraries like TensorFlow, PyTorch, or Keras
  • 5+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 
  • 5+ years of experience building and maintaining scalable API solutions
  • 5+ years of experience in data wrangling/cleansing, statistical modeling, and programming
  • 5+ years of extensive experience working in an Agile development environment
  • 3+ years of solid understanding of machine learning algorithms, including supervised and unsupervised learning
  • 3+ years of deep learning architectures like convolutional neural networks (CNNs) for image generation and recurrent neural networks (RNNs) for text generation are key areas of focus.
  • 3+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches likePrompt Engineering, fine-tuning, etc.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 
  • Must be able to obtain and maintain the required clearance for this role 
  • Delivery Center Location & Travel Requirements:
    • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg) 
    • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
    • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
    • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred: 

  • Understanding how to apply these models for tasks like text generation, image creation, or data augmentation is essential.
  • Understanding language modeling concepts like n-grams and how they relate to LLM training is important.
  • Familiarity with cloud platforms like AWS, Google Cloud, or Azure can be helpful for deploying and scaling LLM models, especially for large datasets.
  • Knowledge of NLP techniques like text pre-processing, tokenization, and sentiment analysis can be valuable for crafting effective prompts.
  • In depth understanding of AI protocols and standards
Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a US Delivery Center Senior Solution Specialist on the team, you will:

  • Work across client teams to develop and architect Generative AI solutions using ML and GenAI
  • Develop and promote standards across the community
  • Evaluate and select appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies
  • Work with leadership and stakeholders to identify AI opportunities and promote strategy.
  • Develop and conduct trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes.
  • Build and prioritize backlog for future machine-learning enabled features to support client business processes.
  • Design and build generative models, selecting the most suitable architecture (e.g., GANs, VAEs) based on the desired output (text, images, code). This involves writing code using Python libraries like TensorFlow or PyTorch.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required: 

  • Bachelor's degree or equivalent experience
  • 6+ years of experience programming in in Python or R with libraries like TensorFlow, PyTorch, or Keras
  • 5+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 
  • 5+ years of experience building and maintaining scalable API solutions
  • 5+ years of experience in data wrangling/cleansing, statistical modeling, and programming
  • 5+ years of extensive experience working in an Agile development environment
  • 3+ years of solid understanding of machine learning algorithms, including supervised and unsupervised learning
  • 3+ years of deep learning architectures like convolutional neural networks (CNNs) for image generation and recurrent neural networks (RNNs) for text generation are key areas of focus.
  • 3+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches likePrompt Engineering, fine-tuning, etc.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 
  • Must be able to obtain and maintain the required clearance for this role 
  • Delivery Center Location & Travel Requirements:
    • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg) 
    • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
    • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
    • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred: 

  • Understanding how to apply these models for tasks like text generation, image creation, or data augmentation is essential.
  • Understanding language modeling concepts like n-grams and how they relate to LLM training is important.
  • Familiarity with cloud platforms like AWS, Google Cloud, or Azure can be helpful for deploying and scaling LLM models, especially for large datasets.
  • Knowledge of NLP techniques like text pre-processing, tokenization, and sentiment analysis can be valuable for crafting effective prompts.
  • In depth understanding of AI protocols and standards
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