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Senior Backend Developer Python Jobs in Lake Elsinore, CA

CACI

Front End Developer Tableau/Python

Norco, CA · On-site

$142K/yr

Job Title: Front End Developer Tableau/Python Job Category: Information Technology Time Type ... Angular, or Vue.js) and back-end technologies (Node.js, .NET, Java) Familiarity with cloud ...

Esri

Sr. Product Engineer - Web Services

Redlands, CA · On-site

As a Senior Product Engineer - Web Services, you will own and guide the evolution of backend ... Comfortable reading and reasoning about code in languages such as Python, JavaScript, TypeScript ...

Karma Automotive

Sr. Engineer II - Software Design

Irvine, CA · Remote

$130K - $172K/yr

... backend telematics system, Karma Cloud Services (KCS). KCS encompasses the back-office systems ... Write efficient and optimized code in programming languages like Java, Python, SQL, and shell ...

PropStream

Senior front-end developer

Lake Forest, CA · Remote

$100K - $120K/yr

As a Senior front-end developer, you will be responsible for the user interface of our web ... Work in a multidisciplinary team with other professionals such as back-end developers, UX/UI ...

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Senior Backend Developer Python information

See Lake Elsinore, CA salary details

$15.5K

$144K

$185.6K

How much do senior backend developer python jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior backend developer python in Lake Elsinore, CA is $144,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,400.00 and $162,800.00 per year, depending on experience, location, and employer.

What does a senior backend developer Python do?

A Senior Backend Developer Python designs, builds, and maintains the server-side logic and databases for web applications, primarily using the Python programming language. They are responsible for ensuring high performance, responsiveness, and security of applications, integrating with front-end elements, and working closely with other developers and stakeholders. Additionally, they often mentor junior developers, review code, and contribute to architectural decisions to ensure scalable and robust backend systems.

What are the key skills and qualifications needed to thrive as a senior backend developer Python?

To thrive as a Senior Backend Developer Python, you need deep expertise in Python programming, software architecture, and experience with databases and API development, usually supported by a computer science degree and several years of professional coding experience. Familiarity with frameworks like Django or Flask, cloud platforms (e.g., AWS, Azure), and version control systems such as Git is typically expected, along with knowledge of containerization tools like Docker. Strong problem-solving skills, collaboration, and clear communication set top performers apart in this role. These skills ensure the development of robust, scalable backend systems that meet business needs and support seamless integration with other technologies.

What are some common challenges faced by senior backend developers working with Python, and how can they be addressed?

Senior Backend Developers working with Python often encounter challenges such as ensuring high performance and scalability of applications, especially when dealing with large volumes of data or high user traffic. Managing dependencies and maintaining clean, modular codebases can also be demanding in complex projects. These challenges are typically addressed by leveraging advanced Python frameworks, implementing robust testing practices, and collaborating closely with DevOps and frontend teams to optimize system architecture and deployment pipelines. Continuous learning and staying updated with best practices in Python and backend development are also key to overcoming these obstacles.

What is the difference between Senior Backend Developer Python vs Backend Developer Python?

AspectSenior Backend Developer PythonBackend Developer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
CertificationsRelevant certifications (e.g., AWS, Python)Optional, entry-level certifications
Work EnvironmentDesigning architecture, mentoringImplementing features, coding
ResponsibilitiesSystem design, team coordinationCode development, bug fixing

The main difference between a Senior Backend Developer Python and a Backend Developer Python lies in experience, responsibilities, and leadership. Senior developers typically lead projects and mentor others, while backend developers focus on coding and feature implementation. Both roles require strong Python skills and relevant certifications, but senior roles demand more experience and strategic involvement.

What job categories do people searching Senior Backend Developer Python jobs in Lake Elsinore, CA look for?

The top searched job categories for Senior Backend Developer Python jobs in Lake Elsinore, CA are:

What cities near Lake Elsinore, CA are hiring for Senior Backend Developer Python jobs?

Cities near Lake Elsinore, CA with the most Senior Backend Developer Python job openings:

Senior Backend Developer Python jobs near you
Infographic showing various Senior Backend Developer Python job openings in Lake Elsinore, CA as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 9% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $144,031 per year, or $69.2 per hour.

10607 - Senior Data Engineer (Python)

Irvine, CA • On-site

Hyundai Autoever America
See more jobs at Hyundai Autoever Americaexternal

$122K - $147K/yr

Full-time

Medical, Dental, PTO

Re-posted 6 days ago

Job description

10607 – Senior Data Engineer 
Location: Irvine, CA
Company Overview  
Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis. 
HAEA offers a truly global and collaborative environment. Here, you’ll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group. 
At HAEA, we understand that IT is the cornerstone of today’s fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai’s Global Headquarters and North American operations. 
If you’re passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that’s driving the future of automotive innovation. 
Website: http://www.haeaus.com 
 
Role Overview: 
We are seeking a motivated and detail-oriented Senior Data Engineer to join our growing data engineering team. The ideal candidate will have strong experience in Python-based data engineering, workflow orchestration using Apache Airflow, and building scalable data solutions using Lakehouse and Medallion Architecture (Bronze, Silver, Gold) principles.
In this role, you will collaborate with data scientists, analysts, architects, and business stakeholders to design, develop, and optimize modern data pipelines that support analytics, reporting, and advanced data-driven initiatives. The successful candidate will have hands-on expertise in data ingestion, transformation, data quality, automation, and cloud-based data platforms.
Key Responsibilities 
  • Design, develop, and maintain scalable and reliable Python-based data pipelines for ingesting, processing, and transforming large volumes of data.
  • Build and manage data workflows using Apache Airflow, including scheduling, monitoring, alerting, and troubleshooting production jobs.
  • Implement and support Medallion Architecture (Bronze, Silver, Gold) data layers to enable efficient data processing, governance, and analytical consumption.
  • Develop robust ETL/ELT solutions to ingest data from databases, APIs, flat files, streaming sources, and third-party systems into enterprise data platforms.
  • Create reusable Python frameworks and libraries to standardize data ingestion, transformation, validation, and monitoring processes.
  • Apply data quality checks, validation rules, and reconciliation processes to ensure accuracy and reliability of data assets.
  • Optimize data pipelines for performance, scalability, fault tolerance, and cost efficiency.
  • Manage production data workloads, perform root cause analysis, and implement performance tuning strategies.
  • Design and maintain data models that align with business requirements and support analytics, reporting, and machine learning use cases.
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
  • Develop automation solutions for operational processes, deployment activities, and data quality monitoring.
  • Implement CI/CD best practices for data engineering workflows, including version control, testing, and automated deployments.
  • Create and maintain monitoring dashboards, alerts, and operational metrics for data pipeline health and performance.
  • Ensure adherence to data governance, security, compliance, and metadata management standards.
  • Document data architecture, pipeline designs, transformation logic, and operational procedures.
  • Support the implementation of master data management, reference data management, and enterprise data integration initiatives as needed.
  • Contribute to the continuous improvement of data engineering best practices, coding standards, and architectural frameworks.
Basic Qualifications 
  • 7+ years of experience in data warehouse or MDM applications.
  • Bachelor's degree in computer science, Information Technology, or related field.
  • Extensive knowledge of SQL and experience with relational databases.
  • Strong programming and scripting skills, including Python and PL/SQL.
  • Hands-on experience developing ETL/ELT data pipelines and supporting production data workloads.
Preferred Qualifications 
  • Experience implementing Lakehouse architectures and Bronze/Silver/Gold (Medallion) data models.
  • Experience with cloud-based data platforms such as Azure Data Lake, AWS, or GCP.
  • Familiarity with Spark/PySpark and distributed data processing frameworks.
  • Experience with Git, CI/CD pipelines, and DevOps practices.
  • Experience designing reusable frameworks for data ingestion, transformation, validation, and monitoring.
  • Familiarity with data governance, security, compliance, metadata management, master data management, or reference data management standards.

Salary range:  $96,550 - $138,061
In addition to a competitive salary, this position offers a fantastic benefits package that includes comprehensive medical/dental coverage, generous PTO, education assistance, and annual merit increase eligibility in a growth-focused work environment.  
 
Team Culture:   
Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value:  
  • Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry.  
  • Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes.  
  • Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals.  
  • Growth: We prioritize personal and professional growth, offering opportunities for learning and development.  
  • Inclusivity: We maintain an inclusive culture where diverse perspectives are valued and everyone feels welcome.  
Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.  
 

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