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Python Programmer Jobs in Irvine, CA (NOW HIRING)

Ravh IT Solutions

EDO Platform Engineering Lead

Irvine, CA · On-site

$110K - $144K/yr

The ideal candidate will have deep expertise in Databricks, dbt, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations, with strong experience supporting investment ...

Superprof

Python Private Tutoring Jobs

Pomona, CA · On-site

$51 - $70.50/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

Superprof

Python Private Tutoring Jobs

Pomona, CA

$51 - $70.50/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

CYNET SYSTEMS

AI/ML Engineer

Aliso Viejo, CA · On-site

$52 - $57/hr

Python Programming - 4+ years. * ML Libraries (Scikit-learn, Pandas, NumPy) - 3-4+ years. * Model Fine-Tuning & Hyperparameter Optimization - 2-3+ years. * AWS SageMaker (Training, Deployment ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure ... using Python, SQL, and AWS services Support data ingestion, transformation, validation, and ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure ... using Python, SQL, and AWS services Support data ingestion, transformation, validation, and ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure ... Python, SQL, and AWS services • Support data ingestion, transformation, validation, and ...

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All JobsPython Programmer JobsPython Programmer Jobs in Irvine, CA

Python Programmer information

See Irvine, CA salary details

$43

$73

$89

How much do python programmer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for python programmer in Irvine, CA is $73.10, according to ZipRecruiter salary data. Most workers in this role earn between $67.07 and $77.40 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 learning, and widespread use in data analysis, web development, and automation. Employers often seek candidates with skills in frameworks like Django or Flask and familiarity with libraries such as Pandas or NumPy, making Python a valuable skill for software development roles.

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.

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 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 is a Python programmer?

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 a Python programmer do?

A Python programmer can work in roles such as software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and backend developer. These roles often require knowledge of frameworks like Django or Flask, libraries such as Pandas or TensorFlow, and proficiency in coding, debugging, and version control tools like Git.
More about Python Programmer jobs
What are the most commonly searched types of Python Programmer jobs in Irvine, CA? The most popular types of Python Programmer jobs in Irvine, CA are:
What are popular job titles related to Python Programmer jobs in Irvine, CA? For Python Programmer jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Python Programmer jobs in Irvine, CA look for? The top searched job categories for Python Programmer jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Python Programmer jobs? Cities near Irvine, CA with the most Python Programmer job openings:
Python Programmer jobs near you
Infographic showing various Python Programmer job openings in Irvine, CA as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 6% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $152,054 per year, or $73.1 per hour.

EDO Platform Engineering Lead

Ravh IT Solutions

Irvine, CA • On-site

$110K - $144K/yr

Other

Posted 18 days ago

Job description

Job Summary
We are seeking a highly skilled EDO Platform Engineering Lead to architect, build, and manage enterprise-scale cloud-native data platforms supporting Asset Management business functions. The role will lead platform engineering, infrastructure automation, DevOps enablement, platform reliability, security, and operational excellence across the Enterprise Data Office (EDO).
The ideal candidate will have deep expertise in Databricks, dbt, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations, with strong experience supporting investment management organizations.
This role is responsible for establishing and managing a scalable, secure, and highly available data platform that supports analytics, reporting, regulatory compliance, portfolio management, risk management, and investment operations.
 
KeyJob Summary
We are seeking a highly skilled EDO Platform Engineering Lead to architect, build, and manage enterprise-scale cloud-native data platforms supporting Asset Management business functions. The role will lead platform engineering, infrastructure automation, DevOps enablement, platform reliability, security, and operational excellence across the Enterprise Data Office (EDO).
The ideal candidate will have deep expertise in Databricks, dbt, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations, with strong experience supporting investment management organizations.
This role is responsible for establishing and managing a scalable, secure, and highly available data platform that supports analytics, reporting, regulatory compliance, portfolio management, risk management, and investment operations.
 
Key Responsibilities
  • Lead the design, implementation, and management of enterprise data platforms.
  • Define platform engineering strategy aligned with EDO and enterprise architecture standards.
  • Establish reusable platform frameworks, accelerators, and engineering best practices.
  • Drive cloud-native modernization initiatives across data and analytics ecosystems.
  • Own platform lifecycle management, scalability, availability, and reliability.
  • Lead enterprise-wide Databricks platform architecture and administration.
  • Design and implement Lakehouse architecture leveraging Delta Lake.
  • Manage Databricks Workflows, Delta Live Tables (DLT), Unity Catalog, MLflow, Structured Streaming, Cluster Policies, Security, and Access Controls.
  • Optimize platform performance and cost efficiency.
  • Build governance controls across development, test, and production environments.
  • Lead cloud engineering activities using AWS services including S3, ECS, EKS, Lambda, Glue, CloudWatch, IAM, Secrets Manager, and VPC.
  • Implement Infrastructure as Code (IaC) practices.
  • Build reusable Terraform modules.
  • Automate environment provisioning and rollback strategies.
  • Implement infrastructure standardization and governance.
  • Maintain infrastructure version control.
  • Ensure compliance through Infrastructure-as-Code practices.
  • Design and implement CI/CD pipelines.
  • Automate deployment and release management processes.
  • Enable Infrastructure-as-Code and GitOps methodologies.
  • Improve deployment velocity and platform reliability.
  • Support engineering teams with self-service platform capabilities.
  • Utilize GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, Terraform, Docker, and Kubernetes.
  • Support API integrations and operational workflows.
  • Establish Site Reliability Engineering (SRE) practices.
  • Define platform SLAs, SLOs, and operational metrics.
  • Lead platform monitoring, observability, and incident management.
  • Drive root cause analysis and preventive actions.
  • Collaborate with architecture, security, infrastructure, and application teams to ensure platform alignment with enterprise standards.
  • Provide technical leadership, mentoring, and governance for platform engineering teams.
Preferred Qualifications
  • Bachelor''s degree in Computer Science, Information Technology, Engineering, or a related field.
  • 12+ years of experience in Data Engineering, Platform Engineering, or Cloud Engineering.
  • Hands-on experience building enterprise-scale cloud-native data platforms.
  • Strong experience supporting Asset Management or Investment Management organizations.
  • Experience designing highly available, secure, and scalable data platforms.
  • Strong understanding of DevOps, Infrastructure Automation, Platform Reliability, and Cloud Security.
  • Excellent leadership, communication, stakeholder management, and problem-solving skills.
 
Required Skills
  • Databricks Administration
  • Lakehouse Architecture
  • Delta Lake
  • Delta Live Tables (DLT)
  • Unity Catalog
  • MLflow
  • Structured Streaming
  • Cluster Policies
  • AWS Cloud Services
  • Terraform
  • Infrastructure as Code (IaC)
  • GitHub Actions
  • GitLab CI/CD
  • Azure DevOps
  • Jenkins
  • Docker
  • Kubernetes
  • Python
  • dbt
  • DevOps
  • GitOps
  • Platform Engineering
  • Site Reliability Engineering (SRE)
  • CI/CD Pipelines
  • API Integration
  • Monitoring & Observability
  • Data Platform Governance
  • Security & Access Management

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