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Python Developer Jobs in Orange, CA (NOW HIRING)

Judge Group, Inc.

Lead Data Engineer

Tustin, CA · On-site

$180K - $190K/yr

The ideal candidate will possess deep expertise in Databricks, dbt, Airflow, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations , along with a strong background ...

CACI

Front End Developer Tableau/Python

Norco, CA

$142K/yr

Job Title: Front End Developer Tableau/Python Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel ...

Eliassen Group

AI/ML Engineer

Irvine, CA · On-site

$70 - $80/hr

The role requires strong Python and PyTorch skills, experience with agentic frameworks and RAG, and the ability to collaborate with semiconductor engineering teams. This is a contract to hire ...

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site

$144K - $194K/yr

Expert Python/FastAPI Developer: Proven experience in designing, scaling, and maintaining existing production web services in an asynchronous Python environment. * Semantic & Graph Expertise: Deep ...

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

Expert Python/FastAPI Developer: Proven experience in designing, scaling, and maintaining existing production web services in an asynchronous Python environment. * Semantic & Graph Expertise: Deep ...

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site

$155 - $180/hr

Expert Python/FastAPI Developer:** Proven experience in designing, scaling, and maintaining existing production web services in an asynchronous Python environment.* **Semantic & Graph Expertise:

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Python Developer information

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How much do python developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for python developer in Orange, CA is $62.62, according to ZipRecruiter salary data. Most workers in this role earn between $51.63 and $71.15 per hour, depending on experience, location, and employer.

What does a Python developer do?

As a Python developer, your job is to use the Python programming language to develop, implement, and debug a project. In this role, you may create an application for your employer, design the framework for your code, build tools as necessary to get the job done, create websites, or publish new services. Python developers often work with data collection and analytics to create useful answers to questions and provide insight where it's needed most. Like most programming positions, the specifics of this job vary based on the needs of your employer. Some Python developers work as independent contractors instead of being exclusive to one company.

What does a Python developer do?

A Python Developer designs, codes, and maintains software applications using the Python programming language. They often work on web applications, data analysis, automation scripts, and more. Their responsibilities can include writing and testing code, debugging programs, integrating third-party services, and collaborating with other developers and stakeholders. Python Developers are valued for their ability to create efficient, scalable, and readable code. They may also be involved in deploying applications and maintaining technical documentation.

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

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and knowledge of databases and cloud services are commonly required. Problem-solving ability, attention to detail, and effective communication help developers collaborate and deliver high-quality code. These skills and qualities are vital to building efficient, scalable software solutions and contributing effectively to development teams.

What are some common challenges Python developers face when working on large-scale projects?

Python Developers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring consistent code style among team members, and optimizing application performance. Collaboration with other developers becomes essential, often requiring the use of version control systems and code review processes. Additionally, integrating Python code with other technologies or legacy systems can present unique compatibility and testing hurdles. Proactively adopting best practices like modular architecture and thorough documentation can help mitigate these issues.

What is the difference between Python Developer vs Java Developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automation, scriptingEnterprise applications, Android development, backend systems
Industry UsageTech startups, data companies, automation firmsFinancial services, enterprise software, mobile app companies
Common Search/ComparisonOften compared for backend and scripting rolesCompared for enterprise and mobile app development

Python Developers and Java Developers share similar educational backgrounds and often work in backend environments. However, Python is favored for data science, scripting, and rapid development, while Java is preferred for large-scale enterprise applications and Android development. Both roles are highly sought after, but their industry focus and project types differ.

How much do Python developers get paid?

Python developers' salaries vary based on experience, location, and skill level, but they typically earn between $70,000 and $120,000 annually in the United States. Senior developers with expertise in frameworks, data analysis, or machine learning can earn higher salaries, especially in tech hubs. Entry-level positions generally start around $60,000 to $80,000.

Is Python in demand in 2026?

Python developers are expected to remain in high demand through 2026 due to the language's widespread use in data science, web development, automation, and artificial intelligence. Proficiency in frameworks like Django or Flask and knowledge of related tools can enhance job prospects in this field.

Is there a demand for Python developers?

Python developers are in high demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in web development, automation, and machine learning. Employers seek professionals with skills in frameworks like Django or Flask and knowledge of data analysis tools like Pandas and NumPy, making Python a valuable programming language for job seekers.

What jobs can a Python Developer get?

A Python Developer can work in roles such as software engineer, web developer, data analyst, data scientist, machine learning engineer, automation engineer, and backend developer. These positions often require knowledge of frameworks like Django or Flask, and familiarity with databases and version control systems.
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For Python Developer jobs in Orange, CA, the most frequently searched job titles are:

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The top searched job categories for Python Developer jobs in Orange, CA are:

What cities near Orange, CA are hiring for Python Developer jobs?

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Python Developer jobs near you
Infographic showing various Python Developer job openings in Orange, CA as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $130,256 per year, or $62.6 per hour.

Lead Data Engineer

Judge Group, Inc.

Tustin, CA • On-site

$180K - $190K/yr

Other

Posted 19 days ago

Job description

Location: Tustin, CA Salary: $180,000.00 USD Annually - $190,000.00 USD Annually Description:
Lead Data Engineer (EDO Platform Engineering Lead)
Location: Irvine, CA
Salary: $180,000-$190,000
About the Role
We are seeking an experienced Lead Data Engineer / EDO Platform Engineering Lead to architect, build, and manage enterprise-scale cloud-native data platforms supporting Asset Management business functions. This 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 possess deep expertise in Databricks, dbt, Airflow, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations, along with a strong background supporting Asset Management and Investment Management organizations.
This position will be responsible for establishing and operating a secure, scalable, highly available enterprise data platform supporting analytics, reporting, regulatory compliance, portfolio management, risk management, and investment operations.
Responsibilities
Platform Engineering & Architecture
  • Lead the design, implementation, and management of enterprise-scale data platforms.
  • Define platform engineering strategy aligned with Enterprise Data Office (EDO) and enterprise architecture standards.
  • Establish reusable platform frameworks, accelerators, reference architectures, and engineering best practices.
  • Drive cloud-native modernization initiatives across data and analytics ecosystems.
  • Own platform lifecycle management, scalability, reliability, availability, and performance.
Databricks Platform Leadership
  • Lead Databricks platform architecture, administration, and governance.
  • Design and implement modern Lakehouse architectures utilizing Delta Lake.
  • Manage and optimize:
    • Databricks Workflows
    • Delta Live Tables (DLT)
    • Unity Catalog
    • MLflow
    • Structured Streaming
    • Cluster Policies
    • Security & Access Controls
  • Optimize platform performance, scalability, and cost efficiency.
  • Establish governance controls across development, testing, and production environments.
Cloud Engineering & Infrastructure
  • Lead cloud engineering initiatives utilizing AWS services including:
    • Amazon S3
    • ECS
    • EKS
    • AWS Lambda
    • AWS Glue
    • CloudWatch
  • Design highly available and secure cloud-based data platform solutions.
  • Ensure platform resiliency, security, compliance, and operational excellence.
Infrastructure as Code (IaC)
  • Develop and maintain reusable Terraform modules.
  • Automate environment provisioning and deployment processes.
  • Implement infrastructure standardization and governance.
  • Maintain infrastructure version control and change management.
  • Enforce compliance through Infrastructure-as-Code best practices.
DevOps & Automation
  • Design and implement CI/CD pipelines for platform and data engineering teams.
  • Automate deployment, release management, and operational processes.
  • Enable GitOps and Infrastructure-as-Code methodologies.
  • Improve deployment speed, reliability, and operational efficiency.
  • Support self-service platform capabilities for engineering teams.
Platform Reliability & Operations
  • Establish and implement Site Reliability Engineering (SRE) practices.
  • Define and monitor platform SLAs, SLOs, and key operational metrics.
  • Lead platform monitoring, observability, and incident management strategies.
  • Drive root cause analysis, remediation, and preventive action programs.
  • Support API integrations and operational workflows.
Tools & Technologies
  • Databricks
  • Delta Lake
  • dbt
  • Apache Airflow
  • AWS Cloud
  • Terraform
  • Python
  • GitHub Actions
  • GitLab CI/CD
  • Jenkins
  • Azure DevOps
  • Docker
  • Kubernetes
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or related disciplines.
  • Strong experience designing and supporting enterprise data platforms.
  • Hands-on expertise with:
    • Databricks
    • dbt
    • Apache Airflow
    • AWS Cloud Services
    • Terraform
    • Python
    • CI/CD pipelines
    • Docker & Kubernetes
  • Experience implementing Infrastructure as Code (IaC) and DevOps practices.
  • Strong understanding of data governance, security, and compliance controls.
  • Experience supporting large-scale enterprise data environments.
  • Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications
  • Experience within Asset Management, Wealth Management, Investment Management, or Financial Services organizations.
  • Expertise in Lakehouse Architecture and Data Platform Modernization.
  • Experience implementing Site Reliability Engineering (SRE) practices.
  • AWS Certifications preferred.
  • Databricks Certifications preferred.
  • Experience supporting enterprise-scale analytics and regulatory reporting platforms.
Must-Have Skills
  • Databricks
  • dbt
  • Apache Airflow
  • AWS Cloud
  • Terraform
  • Python
  • Platform Engineering
  • DevOps
  • Infrastructure as Code (IaC)
  • Asset Management Industry Experience
Preferred Skills
  • Delta Live Tables (DLT)
  • Unity Catalog
  • MLflow
  • Structured Streaming
  • Kubernetes
  • Docker
  • GitOps
  • Jenkins
  • GitHub Actions
  • GitLab CI/CD
  • Site Reliability Engineering (SRE)

Please send me your resume and Linked IN profile for immediate consideration.
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This job and many more are available through The Judge Group. Please apply with us today!

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