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Python Back Jobs in California (NOW HIRING)

Overview As a member of the geocoding team, you will develop back office and cloud hosted systems ... Background in Linux administration and automation using Shell, bash script, or Python * Skilled at ...

... back to our database via Python/Typescript actions. You will gain a deep understanding of the different planning interfaces and craft tools that drive insights and workflows that enable real cost and ...

Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics ... Up to $5,250 paid back to you on eligible education expenses * Pet care discounts for your furry ...

Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics ... Up to $5,250 paid back to you on eligible education expenses * Pet care discounts for your furry ...

... back to our database via Python/Typescript actions. You will gain a deep understanding of the different planning interfaces and craft tools that drive insights and workflows that enable real cost and ...

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Python Back information

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding often requires creativity, problem-solving, and understanding complex requirements that AI tools currently cannot replicate entirely. AI can assist programmers by automating repetitive tasks and providing code suggestions, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new tools and improving problem-solving skills can help Python coders remain valuable in the evolving tech landscape.

What is the backend for Python?

In Python development, the backend refers to the server-side code that handles data processing, storage, and application logic. Python is commonly used for backend development with frameworks like Django and Flask, which facilitate building scalable and secure web applications. Knowledge of databases, APIs, and server management is also important for Python backend roles.

What is a Python Backend Developer?

A Python Backend Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language. They are responsible for creating APIs, managing databases, integrating with external services, and ensuring the overall performance and security of the backend systems. Python Backend Developers often work with frameworks like Django or Flask and collaborate with frontend developers to deliver seamless user experiences.

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

To thrive as a Python Backend Developer, you need strong programming skills in Python, a solid understanding of backend frameworks, and experience with APIs and databases, often supported by a relevant degree or certifications. Familiarity with tools like Django or Flask, RESTful API design, version control systems such as Git, and cloud platforms like AWS or Azure is typically required. Problem-solving, teamwork, and effective communication are crucial soft skills that set top performers apart. These competencies enable developers to build scalable, secure, and maintainable backend systems that meet business needs efficiently.

What jobs can I do with just Python?

With Python skills, you can work as a Python developer, data analyst, automation engineer, or backend programmer. These roles often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks such as scripting, data processing, or web development. Additional skills in databases, version control, and problem-solving enhance job prospects.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries for web frameworks like Django and Flask. Employers seek Python developers for building scalable, efficient server-side applications, often requiring knowledge of databases, APIs, and cloud deployment. The role typically offers competitive salaries and opportunities across various industries such as tech, finance, and healthcare.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges Python Backend Developers face when optimizing application performance?

Python Backend Developers often encounter challenges related to optimizing application speed and scalability, especially when handling large volumes of data or high user traffic. Issues such as inefficient database queries, memory leaks, and suboptimal code structures can impact performance. Developers typically address these by profiling code, implementing caching strategies, and leveraging asynchronous programming where appropriate. Collaborating with DevOps teams to monitor performance metrics and employing tools like Redis, Celery, or load balancers also play a significant role in overcoming these challenges.
What cities in California are hiring for Python Back jobs? Cities in California with the most Python Back job openings:
Infographic showing various Python Back job openings in California as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.
DevOps Engineer II - Geocoding Services

DevOps Engineer II - Geocoding Services

Esri

Redlands, CA

$53 - $72.75/hr

Other

Posted 16 days ago


Esri rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies


Job description

Overview

As a member of the geocoding team, you will develop back office and cloud hosted systems which support testing and deployment of Esri's World Geocoding services and solutions. Your contributions will help automate deployment of development systems, extend, and manage test harnesses, monitor, and troubleshoot issues, and improve systems that mine and analyze services usage patterns which team members can learn from to optimize quality and performance.

Esri's global geocoding solutions help organizations locate addresses and places on a map, discovering what's at a known location or adding location information to large tables of records. Geocoding is a fundamental step towards understanding more about an organization's data.

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.

Responsibilities

  • Configure, deploy, and administer Windows, Linux, AWS and containerized systems
  • Build continuous integration and continuous delivery (CI/CD) pipelines
  • Develop and operate performance and quality testing systems
  • Diagnose unexpected results and work with the development team to create solutions
  • Develop systems that mine and summarize operational data that can be used by development and product management to learn from usage patterns of the services

Requirements

  • 2+ years of related software development experience
  • Experience with Windows administration and automation using tools such as PowerShell
  • Background in Linux administration and automation using Shell, bash script, or Python
  • Skilled at deploying, managing, and monitoring AWS instances
  • Adept in continuous integration and deployment using tools such as Jenkins
  • Experience developing scripts and tools for assembling operational data from services
  • Background in loading, managing, and analyzing data in cloud databases such as AWS Redshift
  • Trained in authoring of dashboards and reports
  • Practical programming experience with Python or C#
  • Experience with Infrastructure as Code (IaC) tools such as Terraform
  • Familiarity with AWS technologies such as Lambda, CloudWatch, AWS Batch, SQS, and CloudFront
  • Knowledge of Agile software development tools and methodologies
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, GIS, or related field

Recommended Qualifications

  • Familiarity with Microsoft Developer technology such as Visual Studio
  • Microservices-based architectures experience, such as Docker and Kubernetes
  • Background in deploying and administrating ArcGIS Enterprise systems
  • Master's degree in Computer Science, Engineering, Mathematics, Information Systems, GIS, or related field

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What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


ESRI logo

About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969