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Python Finance Jobs in Seattle, WA (NOW HIRING)

Amazon

Principal Finance, Ads Central FP&A

Seattle, WA · On-site

... Python, SQB, Quicksight, Cognos or or other BI packages PREFERRED QUALIFICATIONS - MBA, or CPA - Experience in a leadership position managing finance, accounting and operational processes - 12+ years ...

Blue Origin

Sr Finance Analyst - Engines

Seattle, WA

$124K - $174K/yr

Proficiency in Python and workflow automation tools (Alteryx, Databricks, Tableau Prep) * Proficiency in Tableau or Microsoft BI * Experience in financial management of high-rate production

Blue Origin

Sr Finance Analyst - Engines

Seattle, WA · On-site

$124K - $174K/yr

Proficiency in Python and workflow automation tools (Alteryx, Databricks, Tableau Prep) * Proficiency in Tableau or Microsoft BI * Experience in financial management of high-rate production

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How much do python finance jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for python finance in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

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

Success in Python Finance requires strong programming skills in Python, a solid grasp of financial concepts, and often a degree in finance, mathematics, or computer science. Familiarity with technical tools like pandas, NumPy, SQL databases, and financial modeling libraries is typically expected, as well as experience with version control and sometimes certifications like CFA or FRM. Analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for efficiently analyzing financial data, automating processes, and delivering insights that drive smart financial decision-making.

How do Python Finance professionals typically collaborate with other departments within a financial organization?

Python Finance professionals often work closely with teams such as data analytics, risk management, trading, and IT. Collaboration usually involves developing or maintaining automated financial models, integrating data pipelines, and supporting real-time analytics. Clear communication is essential, as you may need to translate complex technical concepts into actionable insights for non-technical stakeholders. This cross-functional teamwork not only enhances project outcomes but also provides opportunities to broaden your understanding of the business and financial processes.

What is a Python Finance professional?

A Python Finance professional is someone who uses the Python programming language to analyze financial data, build financial models, automate trading systems, and perform quantitative analysis. These professionals often work in roles such as quantitative analysts, data scientists, or software developers within finance-related industries. They leverage Python’s powerful libraries like Pandas, NumPy, and scikit-learn to handle large datasets and perform complex financial computations. Their work helps financial institutions make data-driven decisions, improve efficiency, and gain insights into market trends.

What is the difference between Python Finance vs Quantitative Analyst?

AspectPython FinanceQuantitative Analyst
Required CredentialsProficiency in Python, finance knowledge, possibly some certificationsAdvanced degrees (e.g., MSc, PhD), quantitative skills, certifications like CFA
Work EnvironmentFinancial firms, tech companies, trading firmsInvestment banks, hedge funds, asset management
Industry UsageData analysis, algorithmic trading, risk modelingModel development, risk assessment, trading strategies

Python Finance professionals focus on coding and data analysis within financial contexts, often requiring programming skills and finance knowledge. Quantitative Analysts typically have advanced degrees and focus on developing complex models for trading and risk management. While both roles work in finance, Python Finance emphasizes programming, whereas Quantitative Analysts emphasize mathematical modeling.

What are popular job titles related to Python Finance jobs in Seattle, WA? For Python Finance jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Python Finance jobs in Seattle, WA look for? The top searched job categories for Python Finance jobs in Seattle, WA are:
Python Finance jobs near you
Finance Manager, AWS Marketing Finance

Finance Manager, AWS Marketing Finance

Amazon

Seattle, WA • On-site

Full-time

Posted 15 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,811 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

Amazon Web Services (AWS) Marketing Finance seeks a Finance Manager to serve as a dedicated finance partner to senior marketing leaders across one of AWS's largest investment portfolios. You will operate as the financial advisor for Directors and VPs - owning investment narratives, challenging assumptions, and driving decisions that shape how AWS allocates marketing investment.
You will sit at the table with senior leaders, own the "so what" behind every number, and build mechanisms that make the organization faster and smarter with its budget. Excel is your starting point - the goal is to drive data-driven investment decisions through influencing, partnering, and building trust with non-finance stakeholders.
Key job responsibilities
Serve as the primary finance partner to Director/VP-level marketing leaders - own budgeting, forecasting, investment decisions, and strategic planning for your portfolio
Own monthly close, variance analysis, quarterly R&O, and annual planning (OP1/OP2)

Proactively surface risks and recommendations before leadership asks.
Solve cross-portfolio investment allocation methodology - build frameworks that guide how marketing dollars are distributed across channels, programs, and priorities
Drive quarterly investment health checks and build the Monthly Finance Review (MFR) - translate execution, fund hygiene, risks, and IFR decisions into structured narratives
Lead financial modeling for investment decisions: scenario planning, vendor consolidation, and ROI-informed budget allocation
Build systems and mechanisms that reduce overhead, increase speed, and make the team smarter - leverage SQL, Python, and AI tools at scale
A day in the life
You'll spend time understanding what your marketing leaders are trying to achieve and bring financial perspective that sharpens their decisions. A typical week includes advising on large-scale spend decisions, preparing investment narratives for senior reviews, leading MFR discussions with Directors, challenging forecast assumptions with data, and driving proactive fund management. You'll operate with high autonomy, flag issues before they become problems, and earn trust by consistently delivering insights that change outcomes.
About the team
AWS Marketing Finance partners with CMO-direct leaders to drive ROI-informed investment decisions, financial controllership, and operational excellence across a large-scale global marketing organization

Our team values speed, ownership, and the ability to think like a business owner - not just a finance function. We operate with high standards and high trust.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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