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Python Programmer Jobs in Rancho Cordova, CA (NOW HIRING)

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Sr. DevOps Engineer

Rocklin, CA · On-site

$135K - $173K/yr

REQUIRED SKILLS • 8+ years of experience as a DevOps Engineer, Platform Engineer, or Senior ... Python, including: • Writing automation scripts • Building API integrations • Supporting ...

Cypress HCM

Engineering Technician 2

Folsom, CA

$33 - $38/hr

Basic familiarity with Python coding * Uses test, development, or diagnostic equipment, including, but not limited to, test programs oscilloscopes, signal generators, and specialized test apparatus.

Danaher

Software Engineer Internships

Sacramento, CA · On-site

About Software Engineering Roles at Danaher Are you passionate about building real-world ... Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ...

ITC Infotech (USA), Inc

Sr. Data Engineer

Sacramento, CA · On-site

$124K - $149K/yr

Skilled in Python, SQL, and cloud migration across platforms like Snowflake, SAP HANA, and Redshift ... Tableau Developer Certification NTTDATA * Python for Analytics IBM Professional Skills * Python ...

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Python Programmer information

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How much do python programmer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for python programmer in Rancho Cordova, CA is $72.65, according to ZipRecruiter salary data. Most workers in this role earn between $66.68 and $76.92 per hour, depending on experience, location, and employer.

Are Python programmers in demand?

Python programmers are in high demand across various industries due to the language's versatility, ease of use, and widespread adoption in data science, web development, and automation. Employers seek professionals with skills in frameworks like Django or Flask and knowledge of libraries such as Pandas and NumPy, making Python a valuable skill for software development careers.

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

To thrive as a Python Programmer, you need strong proficiency in Python programming, understanding of algorithms, and a background in computer science or related fields. Familiarity with development tools like Git, testing frameworks such as PyTest, and experience with libraries like Django or Flask are typically required. Problem-solving ability, attention to detail, and effective teamwork are standout soft skills for this role. These skills ensure the development of reliable, scalable software solutions and smooth collaboration within technical teams.

Will AI replace Python coders?

AI tools can automate certain programming tasks, but Python programmers are essential for designing, developing, and maintaining complex software systems. AI is more likely to augment the work of Python developers rather than replace them entirely, especially as coding requires problem-solving and creativity that AI cannot fully replicate.

What Do Python Programmers Do?

A Python programmer uses the programming language called Python to write code for various applications, including big data manipulation, web servers, program scripting, and more. In this career, the software allows you to program quicker using fewer lines, which creates an easy-to-read code. You can find work in web or game development, data visualization, and analyzing data, among others. Your job duties vary based on your specialization, but they usually include working with files and extensive support libraries, creating, testing and implementing new or updated applications, and examining the code to spot problems.

What are some common challenges Python Programmers face when working on large-scale projects, and how can they overcome them?

Python Programmers working on large-scale projects often encounter challenges such as managing code maintainability, optimizing performance, and coordinating with cross-functional teams. To address these, it’s essential to follow best practices like modular programming, using virtual environments, and employing version control systems such as Git. Regular code reviews and clear communication within the team help maintain code quality and ensure everyone is aligned. Leveraging frameworks and libraries effectively can also streamline development and reduce repetitive tasks.

What is Python coding salary?

The salary for a Python programmer varies based on experience, location, and industry, but typically ranges from $60,000 to $120,000 annually in many regions. Entry-level positions may start around $50,000, while experienced developers with specialized skills or certifications can earn over $130,000 per year.

What is the difference between Python Programmer vs Software Developer?

AspectPython ProgrammerSoftware Developer
Required CredentialsTypically a degree in Computer Science or related field; proficiency in PythonDegree in Computer Science or related; proficiency in multiple programming languages including Python
Work EnvironmentOften in tech companies, startups, or freelance projects focused on Python-based tasksIn various industries, working on full software solutions, often across multiple languages and platforms
Employer & Industry UsageTech firms, data analysis, automation projectsSoftware firms, IT departments, app development

While a Python Programmer specializes in Python coding, a Software Developer works on broader software solutions, often using multiple languages. Both roles require similar foundational skills, but Software Developers typically handle more comprehensive project responsibilities.

What are Python Programmers?

Python Programmers are software developers who specialize in writing code using the Python programming language. They design, develop, and maintain applications or systems, often working on tasks such as web development, data analysis, machine learning, automation, and scripting. Python Programmers need strong problem-solving skills and a good understanding of programming concepts. They often collaborate with other developers, data scientists, and stakeholders to build efficient and scalable solutions.

What jobs can I do with Python programming?

Python programmers can work in roles such as software developers, data analysts, data scientists, machine learning engineers, automation specialists, and web developers. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with tools such as Git and cloud platforms. Python's versatility makes it applicable across industries including finance, healthcare, and technology.
More about Python Programmer jobs
What are popular job titles related to Python Programmer jobs in Rancho Cordova, CA? For Python Programmer jobs in Rancho Cordova, CA, the most frequently searched job titles are:
What job categories do people searching Python Programmer jobs in Rancho Cordova, CA look for? The top searched job categories for Python Programmer jobs in Rancho Cordova, CA are:
What cities near Rancho Cordova, CA are hiring for Python Programmer jobs? Cities near Rancho Cordova, CA with the most Python Programmer job openings:
Python Programmer jobs near you
Manager - GenAI Full Stack Developer

Manager - GenAI Full Stack Developer

Deloitte

Sacramento, CA

Other

Re-posted 10 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on July 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on July 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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