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Python Financial Jobs in California (NOW HIRING)

EPAM Systems Inc

Lead Python Developer

San Francisco, CA · Remote

$120K - $200K/yr

We are seeking a Lead Python Developer with 7+ years of experience to join the Product Team in ... Design and develop high-quality, reliable software components for an AI-powered financial platform

EPAM Systems Inc

Lead Python Developer

Los Angeles, CA · Remote

$120K - $200K/yr

We are seeking a Lead Python Developer with 7+ years of experience to join the Product Team in ... Design and develop high-quality, reliable software components for an AI-powered financial platform

EPAM Systems Inc

Lead Python Developer

San Jose, CA · Remote

$120K - $200K/yr

We are seeking a Lead Python Developer with 7+ years of experience to join the Product Team in ... Design and develop high-quality, reliable software components for an AI-powered financial platform

CYNET SYSTEMS

Python Principal Architect

San Jose, CA · On-site

$75 - $80/hr

Strong expertise in Python and SQL. * Experience designing enterprise-grade applications. * Hands ... Experience working in regulated environments such as financial services or cybersecurity preferred.

Redolent

Agentic AI Developer (Python & AI)

Sunnyvale, CA · On-site

$59.75 - $82.50/hr

* - Proven experience in developing and deploying Agentic AI systems solutions, preferably in financial ... languages Python, Java , C# etc. * - Work Experience with cloud-based services and designing ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

... in Python and libraries such as PyTorch, Pandas, NumPy, or similar. • Familiarity with ... finance, and compliance -- core enterprise areas that need to transform, especially in a world of ...

US Bank

Credit Risk Python Architect

Los Angeles, CA · On-site

$111.61K - $131.30K/yr

Helping the customers and businesses we serve to make better and smarter financial decisions and ... We are seeking a Python developer / solutions architect to drive forward our next-gen model ...

US Bank

Credit Risk Python Architect

San Francisco, CA · On-site

$111.61K - $131.30K/yr

Helping the customers and businesses we serve to make better and smarter financial decisions and ... We are seeking a Python developer / solutions architect to drive forward our next-gen model ...

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How much do python financial jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for python financial in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a Python Financial job?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What are the key skills and qualifications needed to thrive in the Python Financial position, and why are they important?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

What are some common projects or tasks Python Financial professionals work on in a typical week?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.
More about Python Financial jobs
What are the most commonly searched types of Python Financial jobs in California? The most popular types of Python Financial jobs in California are:
What are popular job titles related to Python Financial jobs in California? For Python Financial jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Financial jobs in California look for? The top searched job categories for Python Financial jobs in California are:
What cities in California are hiring for Python Financial jobs? Cities in California with the most Python Financial job openings:
Python Financial jobs near you
Infographic showing various Python Financial job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Python Principal Architect

Laiba Technologies LLC

San Jose, CA

Other

Posted 3 days ago

Job description

Position: Python Principal Architect
Location: San Jose, CA

In-person Interview (TP2) -Final round 

Mandatory Skills
• Design end-to-end system architectures: APIs.
Write production-quality code — Python, SQL, API services — across the full lifecycle:

JD
Principal Architect — a deeply technical, hands-on leader who sits at the intersection of Functional requirements, system architecture, and pragmatic implementation. This is not a management role. It is a high-impact individual contributor position for someone who loves writing code, designing systems, and staying ahead of the market curve. You will set the technical direction for our engineering practice, drive architecture decisions from first principles, and act as the team''s primary connection to fast-moving developments
You will own how we build Apps  — not just what we build.

Must-Have Experience
• 12+ years of hands-on experience in full stack development with significant depth in production system delivery.
• Proven track record architecting and shipping Enterprise Grade Applications
• Expert-level Python and SQL; fluency with Google Cloud Platform, AWS, Docker, FastAPI,  Django, and CI/CD


WHAT YOU''LL DO

Architecture & System Design
• Design end-to-end system architectures:

APIs.
• Define and own technical blueprints for new products and applications — from data ingestion and embedding pipelines through to response generation, evaluation, and production monitoring.
• Solve hard engineering problems:
• Make deliberate, well-documented architecture decisions with clear trade-off analysis (build vs. buy, framework selection, deployment topology).

Hands-On Implementation
• Write production-quality code — Python, SQL, API services — across the full lifecycle:
• Build and own reusable, framework-quality components
that accelerate team velocity.
• Prototype rapidly, validate with real data, and iterate; bring proofs-of-concept to production-grade systems with full observability and evaluation harnesses.
• Own CI/CD pipelines, Docker-based deployment, and production telemetry for AI services.

AI Market Intelligence & Technology Strategy
• Continuously track and evaluate the AI landscape —agentic frameworks (LangGraph,
Google ADK, CrewAI, AutoGen), retrieval methods, fine-tuning techniques, and emerging tooling.
• Establish and enforce engineering standards: code review practices, PR templates, testing frameworks, and reusable component libraries that reduce development-to-deployment cycle times.
• Serve as the senior technical reviewer for all designs — providing deep, opinionated
feedback that raises the quality bar across the team.
• Pair with engineers on hard problems, conduct design sessions, and create internal reference architectures and runbooks that embed best practices across the team.
• Design and run internal AI upskilling to keep the team sharp on production-grade development.

Cross-Functional Technical Partnership
• Partner closely with Product, Data Science, and Platform Engineering to align architecture with product direction, data constraints, and infrastructure capabilities.
• Communicate complex technical trade-offs clearly to non-technical stakeholders — translating architecture decisions into business impact narratives.
• Work with compliance and legal teams in regulated environments (financial services, cybersecurity)
and data-handling requirements.

Apply