ZipRecruiter

Log In

1

Python Finance Jobs in Seattle, WA (NOW HIRING)

Amazon

Sr. BI Engineer, AWS Regions Finance

Seattle, WA · On-site

$118K - $163K/yr

... Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing ...

Blue Origin, LLC

Sr. Financial Analyst

Seattle, WA · On-site

$124K - $174K/yr

... finance, accounting, consulting, or related field * Strong Excel skills, BI tools, and knowledge of SQL or Python * Strong understanding of financial statements (P&L, balance sheet, cash flow)

Blue Origin

Sr. Financial Analyst

Seattle, WA · On-site

$124K - $174K/yr

... finance, accounting, consulting, or related field * Strong Excel skills, BI tools, and knowledge of SQL or Python * Strong understanding of financial statements (P&L, balance sheet, cash flow)

PACCAR

Senior Financial Analyst

Renton, WA

$90K - $128K/yr

Experience with data analytics or visualization tools such as Tableau, Alteryx, Snowflake, Python ... Bachelor's degree in Accounting, Finance, or a related field. * Three or more years of ...

PACCAR

Senior Financial Analyst

Renton, WA

$90K - $128K/yr

Experience with data analytics or visualization tools such as Tableau, Alteryx, Snowflake, Python ... Bachelor's degree in Accounting, Finance, or a related field. * Three or more years of ...

PACCAR

Senior Financial Analyst

Renton, WA · On-site

$90K - $128K/yr

Experience with data analytics or visualization tools such as Tableau, Alteryx, Snowflake, Python ... Bachelor's degree in Accounting, Finance, or a related field. * Three or more years of ...

PeopleConnect

Senior Financial Data Analyst

Bellevue, WA · On-site

$141K - $180K/yr

... finance and business stakeholders by owning and evangelizing all aspects of the forecast process ... Identify opportunities to use scripting (Python/SQL/AI tools) to automate manual data collection ...

Blue Origin

Operations Financial Analyst Sr.

Seattle, WA · On-site

$124K - $174K/yr

As a member of the Operations Finance organization, you will drive key initiatives to improve the ... Experience with SQL, Python, GenAI * Experience with OneStream * Experience with Tableau

Blue Origin

Financial Analyst III - New Glenn

Seattle, WA · On-site

$104K - $145K/yr

As part of a hardworking team of finance professionals, you will be responsible for supporting ... Proficiency in Python and workflow automation tools (Alteryx, Databricks, Tableau Prep) * Advanced ...

Amazon

Data Scientist, WW Ops FP&A

Bellevue, WA · On-site

As we expand our scope into Generative AI, we are building a sophisticated, LLM-powered Finance ... Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of ...

Walmart

Python Senior Software Engineer

Bellevue, WA · On-site

$108K - $216K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty ...

next page

Showing results 1-20

All JobsPython Finance JobsPython Finance Jobs in Seattle, WA

Python Finance information

See Seattle, WA salary details

$15

$66

$98

How much do python finance jobs pay per hour?

As of Jul 4, 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.

Is Python enough to get a finance job?

Python is a valuable skill for finance jobs such as quantitative analyst, data analyst, or financial engineer, as it is widely used for data analysis, modeling, and automation. However, employers often look for additional skills like finance knowledge, statistical understanding, and experience with tools such as Excel, SQL, or financial modeling. Combining Python with domain expertise and other technical skills increases job prospects in finance roles.

What finance jobs use Python?

Finance jobs that use Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often require skills in data analysis, modeling, and automation, with Python being used for tasks such as data processing, backtesting strategies, and building financial models.

Is Python a high paying job?

Python roles in finance, such as quantitative analysts or financial software developers, tend to offer high salaries due to the demand for programming skills and financial knowledge. Compensation varies based on experience, location, and industry, but Python expertise is generally associated with well-paying positions in finance and data analysis. Certifications and proficiency with related tools like pandas or NumPy can also enhance earning potential.

Is Python useful in finance?

Python is widely used in finance roles such as quantitative analyst, trader, and financial engineer due to its simplicity and extensive libraries like pandas, NumPy, and scikit-learn. It is commonly employed for data analysis, algorithmic trading, risk management, and financial modeling, making it a valuable skill for finance professionals.

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 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 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
Infographic showing various Python Finance job openings in Seattle, WA as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.
Sr. BI Engineer, AWS Regions Finance

Sr. BI Engineer, AWS Regions Finance

Amazon

Seattle, WA • On-site

$118K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,925 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The AWS Regions Finance team has a broad range of responsibilities from driving existing business performance to recommending INTL infrastructure expansion. We operate across the full P&L to identify risks and opportunities. We push the boundaries of how to measure and manage the AWS business, inventing metrics and using our platform to align L10+ leaders on controllable inputs.
We are looking for someone who's an expert with SQL, ETL and, more generally, data wrangling. A track record of moving fast to adopt GenAI tools with a passion and proven ability to teach others are required. The successful candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. In this role, you will need to deeply understand the business and will be expected to partner directly with customers to answer key business questions and drive outcomes.
Key job responsibilities
Key job responsibilities
- Work with business customers to gather requirements and deliver complete data analytical solutions
- Learn why customers are asking for data and what their underlying questions and business goals are
- Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions
- Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation
- Drive data democratization throughout the organization, enabling others to self-serve their data needs
BASIC QUALIFICATIONS
- 5+ years of SQL, ETL or Oracle experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Bachelor's degree or equivalent in Finance, Business, Economics, Mathematics, or other highly quantitative fields
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, VA, Arlington - 130,400.00 - 176,300.00 USD annually
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

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

View All Amazon Jobs

Apply