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Senior Python Developer Jobs in Long Beach, CA (NOW HIRING)

Neara

Sr. DevOps Engineer

Irvine, CA · On-site

$120 - $135/hr

Sr. DevOps Engineer Job type: Full Time · Department: Technology and Development · Work type: On ... such as TypeScript or Python * Experience designing and operating monitoring, logging, and ...

Socket.dev

Sr. DevOps Engineer

Irvine, CA · On-site

$140 - $210/hr

Senior DevOps Engineer At EKN Engineering, we solve challenging problems with innovative ... such as TypeScript or Python * Experience designing and operating monitoring, logging, and ...

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All JobsPython Developer JobsSenior Python Developer JobsSenior Python Developer Jobs in Long Beach, CA

Senior Python Developer information

See Long Beach, CA salary details

$57.8K

$149.3K

$205K

How much do senior python developer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior python developer in Long Beach, CA is $149,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $171,900.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a senior Python developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

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

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by senior Python developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.

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

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

Are senior Python developers still in demand?

Senior Python developers remain in high demand due to the language's versatility in web development, data analysis, machine learning, and automation. Companies seek experienced developers with skills in frameworks like Django or Flask, and proficiency in cloud platforms and APIs enhances job prospects.

How much does a senior Python developer make?

A senior Python developer typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess strong skills in frameworks like Django or Flask and may hold certifications or advanced degrees that influence salary levels.

What does a senior Python developer do?

A senior Python developer designs, develops, and maintains complex software applications using Python. They often lead projects, review code, optimize performance, and collaborate with cross-functional teams, requiring strong problem-solving skills and knowledge of frameworks like Django or Flask. Additionally, they may mentor junior developers and ensure code quality through testing and best practices.

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

The most popular types of Python Developer jobs in Long Beach, CA are:

What are popular job titles related to Senior Python Developer jobs in Long Beach, CA?

For Senior Python Developer jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Senior Python Developer jobs in Long Beach, CA look for?

The top searched job categories for Senior Python Developer jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Senior Python Developer jobs?

Cities near Long Beach, CA with the most Senior Python Developer job openings:

Senior Python Developer jobs near you
Infographic showing various Senior Python Developer job openings in Long Beach, CA as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 9% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $149,284 per year, or $71.8 per hour.

Mid-Senior Data Engineer - SQL, Python, dbt & Snowflake

Motion Recruitment

City Of Industry, CA

$115K - $138K/yr

Full-time

Posted 17 days ago

Key responsibilities

  • Design, build, and maintain production-grade data pipelines and transformations

  • Own day-to-day production data operations, including orchestration, scheduled refreshes, monitoring, and alerting

  • Troubleshoot pipeline failures, data quality issues, and other production incidents

Job description

Mid-Senior Data Engineer - SQL, Python, dbt & Snowflake

City of Industry, CA | Full-Time

Our client is a growing organization seeking a Data Engineer to join its expanding technology team. This is a hands-on role focused on building and maintaining production data solutions, supporting critical data operations, and improving the reliability and scalability of the overall data environment.

The ideal candidate is a strong hands-on engineer who enjoys working with production systems, troubleshooting unfamiliar problems, and taking ownership of data pipelines and operational processes.

What You’ll Be Doing

  • Design, build, and maintain production-grade data pipelines and transformations

  • Develop and maintain reliable data models supporting reporting, analytics, and business applications

  • Work extensively with SQL, Python, dbt, and cloud-based data technologies

  • Own day-to-day production data operations, including orchestration, scheduled refreshes, monitoring, and alerting

  • Troubleshoot pipeline failures, data quality issues, and other production incidents

  • Support database administration activities, including user access, roles, permissions, performance, and maintenance

  • Manage data deployments and contribute to CI/CD and infrastructure automation

  • Investigate unfamiliar or poorly documented data sources and determine how systems, schemas, and integrations function

  • Build data solutions supporting reporting, billing, customer, and operational use cases

  • Integrate and work with data from internal, third-party, and legacy systems

  • Partner with engineering, product, operations, and business teams to translate requirements into technical solutions

  • Participate in code reviews and contribute to engineering standards and best practices

  • Improve documentation, knowledge sharing, and overall platform reliability

Required Qualifications

  • Strong SQL skills, including complex joins, window functions, aggregations, NULL handling, and understanding of data grain

  • Hands-on Python development experience, including maintaining code running in production

  • Professional experience building or supporting production data pipelines

  • Experience with a modern data transformation framework; dbt strongly preferred

  • Strong understanding of dimensional data modeling, including:

    • Fact and dimension tables

    • Data grain

    • Conformed dimensions

    • Slowly changing dimensions

  • Experience supporting production environments, including deployments, monitoring, environment management, troubleshooting, and incident response

  • Strong experience with Git, pull requests, code reviews, and CI/CD

  • Ability to independently investigate and debug unfamiliar technical problems

  • Strong communication skills and ability to work across technical and business teams

  • Comfortable contributing within an established architecture and engineering environment

Preferred Qualifications

  • Experience with Snowflake

  • Experience with Microsoft Azure

  • Familiarity with Azure Data Factory (ADF), ADLS Gen2, and/or Key Vault

  • Terraform or other Infrastructure-as-Code experience

  • Experience working with multi-tenant or customer-facing data

  • Experience integrating with or reverse-engineering legacy and third-party systems

  • Familiarity with BI, analytics, and downstream data consumption patterns

  • Experience working with supply chain, transportation, warehousing, logistics, or other operational data

AI & Modern Engineering

The engineering team incorporates AI-assisted tools into its development and problem-solving workflows. Candidates should be comfortable using AI tools thoughtfully to:

  • Investigate unfamiliar codebases, schemas, documentation, and systems

  • Research and evaluate potential technical approaches

  • Automate repetitive engineering tasks and workflows

  • Improve development and troubleshooting efficiency

  • Build custom scripts, tools, agents, or other AI-assisted workflows

Candidates should also understand the limitations of AI-generated output and be able to explain how they verify results, identify incorrect assumptions, and validate technical solutions before putting them into production.

Apply