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Senior Python Developer Jobs in Pasadena, CA (NOW HIRING)

YO AI Labs

Senior Data Engineer

Glendale, CA

$112K - $152K/yr

* Job title: Senior Data Engineer * Experience: 8-15 Years * Location: Glendale, USA * Job Type ... Python for data engineering and automation. * Advanced SQL (complex queries, optimization ...

Neros Technologies

Senior DevOps Engineer

Torrance, CA · On-site

$165K - $231K/yr

What you will be doing The Senior DevOps Engineer is a key technical owner at Neros, responsible ... Python) US Salary Range $165,000 - $231,000 USD The salary range for this role is an estimate based ...

Neros Technologies

Senior DevOps Engineer

Torrance, CA

$165K - $231K/yr

What you will be doing The Senior DevOps Engineer is a key technical owner at Neros, responsible ... Python) US Salary Range $165,000 - $231,000 USD The salary range for this role is an estimate based ...

Neros Technologies

Senior DevOps Engineer

Torrance, CA · On-site

$165K - $231K/yr

What you will be doing The Senior DevOps Engineer is a key technical owner at Neros, responsible ... Python) US Salary Range $165,000 - $231,000 USD The salary range for this role is an estimate based ...

Mondo

Senior Data & AI Engineer x2

Santa Monica, CA · On-site

$200K - $225K/yr

The client is seeking a Senior Data & AI Engineer to build practical, production-ready solutions using Databricks, Python, cloud infrastructure, and modern AI tools--while working directly with ...

Q-CTRL

Senior Compiler Engineer

Los Angeles, CA · On-site

$135K - $210K/yr

About the role As a Senior Software Engineer on the Boulder Opal team, you will lead the design and ... Maintain and evolve our bespoke Python DSL used by researchers to construct pulse-level quantum ...

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

Mid-Senior (10+ Years) Industry: Information Technology & Services Position Overview Carter Support ... The ideal candidate will bring deep expertise in Python, cloud-based AI deployment (Azure), and ...

Pacvue

Senior DevOps Engineer

Los Angeles, CA · Remote

$140K - $165K/yr

As a Senior DevOps Engineer on our Platform Engineering team, you'll bring deep, hands-on expertise ... Proficiency in at least one language for automation and tooling (Python, Go, Bash, or similar) and ...

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All JobsPython Developer JobsSenior Python Developer JobsSenior Python Developer Jobs in Pasadena, CA

Senior Python Developer information

See Pasadena, CA salary details

$60K

$154.9K

$212.7K

How much do senior python developer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior python developer in Pasadena, CA is $154,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $178,300.00 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 Pasadena, CA?

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

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

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

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

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

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

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

Senior Python Developer jobs near you
Infographic showing various Senior Python Developer job openings in Pasadena, CA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $154,868 per year, or $74.5 per hour.

Senior Data Engineer

YO AI Labs

Glendale, CA

$112K - $152K/yr

Full-time

Re-posted 28 days ago

Job description

Job Description

  • Job title: Senior Data Engineer
  • Experience: 8-15 Years
  • Location: Glendale, USA
  • Job Type: Full-time


Must Haves:

  • 5+ years of Strong experience with Core Data Platform/Data Engineering.
  • Data Modeling (Dimensional Modeling, Normalization, OLTP vs. OLAP)
  • Python for data engineering and automation.
  • Advanced SQL (complex queries, optimization, performance tuning).
  • Snowflake (hands-on implementation and optimization).
  • Understanding of OLTP vs. OLAP architectures and data warehouse design

Qualifications:

  • 5+ years of data engineering experience developing data pipelines.
  • Strong understanding of data modeling principles, including Dimensional modeling and data normalization principles.
  • Proficiency in at least one major programming language (eg, Python).
  • Expert SQL skills and ability to create queries to analyze complex datasets.
  • Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
  • Experience with Snowflake.
  • Strong algorithmic problem-solving expertise
  • Comfortable working in a fast-paced and highly collaborative environment.
  • Advance understanding of OLTP vs OLAP environments


Key Responsibilities:

  • Create and maintain Data Platform pipelines.
  • Create Conceptual, Logical, and Physical data models.
  • Design table structures using DBT and define data pipelines to build performant, reliable, and scalable data solutions in a fast-growing data ecosystem.
  • Collaborate with other data engineers, data scientists, and cross-functional teams.
  • Ensure high operational efficiency and quality of the Core Data Platform datasets to ensure our solutions meet SLAs.
  • Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements.
  • Maintain detailed documentation of your work and changes to support data quality and data governance requirements.