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Python S Jobs in Fairfield, CA (NOW HIRING)

360 IT Professionals

Python Developer

San Francisco, CA

$59.25 - $81.50/hr

Python Developer Location San Francisco, CA Experience: 9+ year Minimum Responsibilities : - Writing reusable, testable, and efficient code - Design and implementation of low-latency, high ...

US Bank

Credit Risk Python Architect

San Francisco, CA · On-site

$111K - $131K/yr

S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... We are seeking a Python developer / solutions architect to drive forward our next-gen model ...

floodwave

Python/ Django + SQL Engineer

San Francisco, CA

$59.25 - $81.50/hr

Python/ Django + SQL Engineer We are looking for top-notch Python/ Django frontend developers with strong skills in HTML(5), CSS and JS. You will work with a team to build an analytics and metrics ...

Dellfor Technologies

python developer

San Francisco, CA · On-site

$80K/yr

ROLE :Python Developer DURATION: Contract 5+years of experience Python will be the primary language, using which developer would perform SQL/CRUD operations in DB, file extraction/transformation ...

Floodwave

Python/ Django + SQL Engineer

San Francisco, CA · On-site

$59.25 - $81.50/hr

Python/ Django + SQL Engineer We are looking for top-notch Python/ Django frontend developers with strong skills in HTML(5), CSS and JS. You will work with a team to build an analytics and metrics ...

Career Movement

Python Engineer

San Francisco, CA

Strong coding fundamentals in at least one modern language such as Python, Go, or Rust * Solid understanding of data structures, algorithms, and distributed systems * Familiarity with REST APIs, SQL ...

LangChain, Inc

Python OSS Engineer

San Francisco, CA · On-site

$160K - $240K/yr

About the Team The Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed ...

INTELLISWIFT INC

Sr. Python Developer

San Francisco, CA · On-site

$143K - $192K/yr

Skill Python, Javascript, PostgreSQL, Node.js, Redis, iOS apps, Android apps Location San Francisco, CA Max Salary $ DOE Per Annum Employment Type Direct Jobs (Full Time) Description Engineers who ...

Extractable

Python Integrations Developer

San Francisco, CA · On-site

$100K - $130K/yr

The Role We're looking for a Python Integrations Developer to own and expand the third-party integrations that connect our platform with the systems financial institutions rely on every day. You'll ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

The Role We're looking for a Python Integrations Developer to own and expand the third-party integrations that connect our platform with the systems financial institutions rely on every day. You'll ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

The Role We're looking for a Python Integrations Developer to own and expand the third-party integrations that connect our platform with the systems financial institutions rely on every day. You'll ...

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All JobsPython S JobsPython S Jobs in Fairfield, CA

Python S information

See Fairfield, CA salary details

$13

$59

$87

How much do python s jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python s in Fairfield, CA is $59.66, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $67.79 per hour, depending on experience, location, and employer.

What is the difference between Python S and Python Developer?

AspectPython SPython Developer
Required CredentialsTypically no formal certification, but familiarity with Python basicsBachelor's in CS or related field, often with Python certifications
Work EnvironmentResearch labs, academic settings, or specialized industriesTech companies, startups, or software development firms
Industry UsageUsed mainly in research, data analysis, or academic projectsDeveloping applications, web services, automation scripts
Common Search/ComparisonOften compared in academic or research contextsMore common in job listings and industry roles

Python S typically refers to a specialized or research-focused use of Python, often in academic or scientific settings, whereas Python Developer is a broader industry role focused on developing software applications using Python. While both require familiarity with Python, Python Developer roles usually demand additional programming skills and industry experience.

Are Python still in demand in 2026?

Python developers remain in high demand in 2026 due to Python's widespread use in data science, web development, automation, and machine learning. Skills in frameworks like Django or Flask and familiarity with libraries such as Pandas or TensorFlow enhance job prospects for Python programmers.

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

To thrive as a Python Software Engineer, you need strong proficiency in Python programming, problem-solving abilities, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically expected, along with relevant certifications like PCEP or PCAP being a plus. Effective communication, teamwork, and adaptability are vital soft skills that help engineers collaborate and respond to changing project requirements. These combined skills ensure the ability to build robust, scalable applications and contribute effectively to development teams.

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding requires creativity, problem-solving, and understanding of complex systems that AI currently cannot fully replicate. AI tools can assist programmers by automating repetitive tasks and improving efficiency, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new technologies and enhancing skills in areas like machine learning and automation can help Python coders remain valuable in the evolving tech landscape.

Is Python a high paying job?

Python developers often earn competitive salaries due to the high demand for programming skills in data science, web development, and automation. Salaries vary based on experience, location, and industry, but Python roles generally offer above-average compensation compared to many other programming languages.

What are some common challenges Python Software Engineers face when working on large-scale projects?

Python Software Engineers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring code performance, and maintaining effective collaboration within cross-functional teams. As projects grow, it's crucial to implement robust testing, documentation, and version control practices to avoid technical debt. Additionally, optimizing Python code for speed and memory efficiency can be important, especially when dealing with high-traffic systems or big data. Regular communication with product managers, designers, and other developers helps ensure that project goals are met efficiently and any issues are addressed early.

What are Python Software Engineers?

Python Software Engineers are professionals who design, develop, test, and maintain software applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, artificial intelligence, and more. Their role often involves writing clean, efficient code, collaborating with other developers or teams, and solving technical problems. Python Software Engineers are valued for their versatility, as Python is used across many industries and for diverse applications.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks like scripting, data processing, or web development.
What are popular job titles related to Python S jobs in Fairfield, CA? For Python S jobs in Fairfield, CA, the most frequently searched job titles are:
What job categories do people searching Python S jobs in Fairfield, CA look for? The top searched job categories for Python S jobs in Fairfield, CA are:
What cities near Fairfield, CA are hiring for Python S jobs? Cities near Fairfield, CA with the most Python S job openings:
Python S jobs near you

Python Developer

Cirrus Group Consulting

San Francisco, CA

$140K - $175K/yr

Full-time

Posted 28 days ago

Job description

We are seeking an experienced Python Developer to join our team supporting the front office. The ideal candidate will have at least 5 years of experience designing, developing, and deploying Python-based solutions in a financial services or investment management environment. This role supports a broad set of stakeholders including equity & fixed income research, trading, and quantitative teams, requiring the ability to work across varying levels of technical maturity. This role also requires participation in the firm’s growing AI initiatives, including governance and integration of AI processes. The individual will collaborate closely with front office teams and Investment Technology leadership to deliver scalable, well-governed Python solutions that support investment decision-making.

 

Key Responsibilities:


•      Design, develop, and maintain Python-based tools and pipelines to support front office investment teams.

•      Develop, maintain, and govern shared data patterns across multiple databases, environments, and other enterprise sources.

•      Support the firm’s cloud migration, including integration of Snowflake and support of Python UDFs.

•      Build and support interactive tools using Plotly and Dash for business users.

•      Establish and maintain internal Python package structures, dependency management standards, and environment reproducibility practices.

•      Implement data quality validation and testing frameworks for data pipelines.

•      Support AI enablement initiatives including LLM integration, governance frameworks, and review of AI-generated code for production readiness.

 

Key Priorities/Deliverables:


•      Implement an internal Python package architecture that enables shared utilities across teams.

•      Establish environment reproducibility and dependency management standards across development and production environments.

•      Define and document Snowflake-Python integration patterns, including reference implementations for data extraction, analytics, and model scoring

•      Establish initial AI governance guardrails including approved model access, data classification for API usage, and review processes for AI-assisted development.

•      Provide mentoring, code review, and documentation to support Python adoption across teams.


Basic Qualifications:


•      5 years of hands-on experience developing in Python

•      5 years of demonstrated production deployment & environment management experience.

•      5 years of experience integrating Python with enterprise data sources, including Snowflake, SQL Server, and REST APIs.

•      5 years of experience building interactive dashboards and visualizations with Plotly and Dash.

•      Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, or a related field.

 

Preferred Qualifications:


•      Experience designing scalable internal Python architectures in organizations with multiple teams.

•      Hands-on involvement with AI/LLM enablement in an enterprise context, including integration patterns (MCP, API abstraction layers), data governance, and prompt management.

•      Prior experience in asset management or investment research, with working knowledge of portfolio analytics, factor construction, and valuation metrics.

•      Demonstrated ability to design Python package structures and manage dependencies across teams and environments.

•      High attention to detail, particularly around numerical accuracy, and data quality in a financial context.

•      Strong proficiency with pandas, vectorized operations, and data quality handling.

•      Strong communication and stakeholder management skills, with the ability to work directly with non-technical front office users.

•      Proficiency with version control (Git) and collaborative development practices including code review.