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Python Engineer Jobs in Menifee, CA (NOW HIRING)

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 ...

Esri

DevOps Engineer II - Geocoding Services

Redlands, CA · On-site

$53 - $72.75/hr

... Engineer II to join their geocoding team. This role involves developing back office and cloud ... Python • Skilled at deploying, managing, and monitoring AWS instances • Adept in continuous ...

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All JobsPython Engineer JobsPython Engineer Jobs in Menifee, CA

Python Engineer information

See Menifee, CA salary details

$24.3K

$148.1K

$214.3K

How much do python engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for python engineer in Menifee, CA is $148,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $174,100.00 per year, depending on experience, location, and employer.

Is Python coding still in demand?

Python engineering remains highly in demand across industries such as data science, web development, and automation due to its versatility and ease of use. Employers seek Python skills for roles involving machine learning, scripting, and backend development, often requiring knowledge of frameworks like Django or Flask and proficiency with version control tools.

Will AI replace Python coders?

AI is unlikely to fully replace Python engineers, as their role involves designing, maintaining, and optimizing complex systems that require human judgment and creativity. While AI tools can automate certain coding tasks, Python developers will continue to be essential for developing new algorithms, debugging, and integrating AI solutions. Staying updated with AI and machine learning skills can enhance a Python engineer's value in the evolving tech landscape.

What is the difference between Python Engineer vs Data Scientist?

AspectPython EngineerData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; Python proficiencyBachelor's or higher in Data Science, Statistics, or related; Python and analytical skills
Work EnvironmentSoftware development teams, coding, testing, deploymentData analysis, modeling, visualization, research
Employer & Industry UsageTech companies, startups, software firmsFinance, healthcare, e-commerce, research institutions
Common Search & ComparisonYesYes

Python Engineers focus on developing and maintaining software applications using Python, while Data Scientists analyze data to extract insights, often using Python for data manipulation and modeling. Both roles require Python skills but serve different primary functions within organizations.

What does a Python Engineer do?

A Python Engineer is a software professional who specializes in designing, developing, and maintaining applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, and machine learning. Python Engineers collaborate with other team members to write clean and efficient code, debug issues, and ensure the performance and scalability of applications. Their expertise in Python allows them to leverage its libraries and frameworks to solve complex problems across different industries.

How much does a Python engineer make?

The average salary for a Python engineer varies by experience and location but typically ranges from $80,000 to $130,000 annually. Senior Python developers with specialized skills in frameworks like Django or Flask and experience in data analysis or machine learning can earn higher salaries, often exceeding $150,000. Many roles also require proficiency in version control, testing, and deployment tools.

What do Python engineers do?

Python engineers develop, test, and maintain software applications using the Python programming language. They often work with frameworks like Django or Flask, write clean code, and collaborate with teams on data analysis, automation, or web development projects.

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

To thrive as a Python Engineer, you need strong programming skills in Python, a solid understanding of computer science fundamentals, and experience with software development practices, often supported by a relevant degree or certification. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure are typically required. Excellent problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for building scalable, maintainable code and collaborating efficiently within development teams.

How do Python Engineers typically collaborate with other team members during the software development lifecycle?

Python Engineers work closely with cross-functional teams, including front-end developers, QA testers, product managers, and DevOps specialists. Collaboration often involves participating in code reviews, daily stand-up meetings, and sprint planning sessions to ensure alignment on project goals and technical requirements. Effective communication and using collaborative tools like Git, Jira, and Slack are essential for managing tasks, sharing updates, and resolving issues efficiently. This teamwork-driven environment helps deliver high-quality software and supports continuous learning from peers.

What Does a Python Engineer Do?

As a Python engineer, your job is to use the Python programming language and develop code for your company. Your duties include creating a new application, integrating Python software with an existing system, or testing existing code to iron out bugs. Most employers hiring for this role have specific goals for projects in mind, and it is your job to turn those goals into reality in the most effective way. You’re also expected to use other programming skills, particularly involving Django, JavaScript, and database architecture.

More about Python Engineer jobs
What job categories do people searching Python Engineer jobs in Menifee, CA look for? The top searched job categories for Python Engineer jobs in Menifee, CA are:
What cities near Menifee, CA are hiring for Python Engineer jobs? Cities near Menifee, CA with the most Python Engineer job openings:
Python Engineer jobs near you
Infographic showing various Python Engineer job openings in Menifee, CA as of July 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $148,100 per year, or $71.2 per hour.
Senior Python Engineer

Senior Python Engineer

Avani Technology Solutions, Inc.

Lake Forest, CA • On-site

Full-time

Re-posted 19 days ago

Job description

Top 3 Skills
Python
ETL
Experience within structured and un-structured data
Unstructured data into relational databases
AWS
Requirements:
• You have a Bachelor's Degree in Computer Science (or related field) and have 5+ years of relevant work experience in business intelligence, data engineering, data warehousing, or a similar field.
• You have expert level experience with SQL and Python, with intermediate around Hive, Pig
• You remain active in learning emerging practices and technologies in the BI/DW and data science space.
• You are comfortable and confident in your knowledge of multiple database programming languages and your knowledge of relational and columnar databases.
• You have experience integrating data from multiple data sources and have processed large amounts of unstructured data.
• You have experience with Cloud technologies (AWS preferred), Big Data Components (Apache Spark, Hadoop, Presto, etc.), and Continuous Integration tools is desired, but not required.
Data Engineer Job Responsibilities:
• Provide significant contributions to the growth of our Data infrastructure
• Design, develop, test and deploy business intelligence solutions
• Design and document data structures/models and data flows
• Interact with various business units and technical teams to gather requirements
• Review, optimize and document current ETL processes
• Ensure data quality, completeness, and accuracy
• Collaborate with team members in code reviews, discovering better practices and patterns and continuous improvements

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