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Python Developer Jobs in Corona, CA (NOW HIRING)

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

$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 ...

CoreLogic

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 ...

Jobsbridge

Hadoop Developer

Redlands, CA · On-site

MS/BS degree in a computer science field or related discipline Good experience in large-scale software development Experience in Hadoop Strong Java programming, shell scripting, Python, and SQL ...

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All JobsPython Developer JobsPython Developer Jobs in Corona, CA

Python Developer information

See Corona, CA salary details

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$60

$89

How much do python developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python developer in Corona, CA is $60.48, according to ZipRecruiter salary data. Most workers in this role earn between $49.86 and $68.70 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.
More about Python Developer jobs

What are the most commonly searched types of Python Developer jobs in Corona, CA?

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For Python Developer jobs in Corona, CA, the most frequently searched job titles are:

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Cities near Corona, CA with the most Python Developer job openings:

Python Developer jobs near you
Infographic showing various Python Developer job openings in Corona, CA as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $125,800 per year, or $60.5 per hour.

Data Platform Engineering Lead

Northern Base

Irvine, CA • On-site

Full-time

Posted 7 days ago

Job description

Job Description
Must Have Technical/Functional Skills
 Data Bricks , EBT ,Airflow , Asset Management exp
 
Roles & Responsibilities
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:S3 ,ECS,EKS,Lamda .Glue ,Cloudwatch
• Infrastructure as a Code (IaC)
• Build reusable Terraform modules.
• Automate environment provisioning.
• 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 reliability.
• Support engineering teams with self-service platform capabilities.
• GitHub Actions ,GitLab CI/CD ,Jenkins ,Azure DevOps ,Terraform ,Docker ,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