ZipRecruiter

Log In

1

Financial Engineer Jobs in Seattle, WA (NOW HIRING)

Weekday AI

Data Engineer - Finance

Bellevue, WA

$60 - $85/hr

... Data Engineer - Finance to build and maintain the data infrastructure that powers its finance ... financial initiatives. This is a 6-month, full-time onsite contract with the possibility of ...

TERRACON

Regional Financial Analyst

Lynnwood, WA · On-site

$81K - $93K/yr

... an engineering consulting firm. Proficient in Accounting concepts, practices, systems, and ... Partners with IT and other Accounting & Finance departments on invoicing activities and systems.

TERRACON

Regional Financial Analyst

Lynnwood, WA

Experience supporting engineering, consulting, or project-based businesses. * Familiarity with ... Support other Corporate or Operational Finance staff members with escalated invoicing and reporting ...

Range

Financial Planner

Bellevue, WA · On-site

$85K - $115K/yr

Tired of traditional financial planning? Range is the fast, flexible, holistic wealth management ... Be an active part of a collaborative team and share best practices * Assist our engineering and ...

previous page

Showing results 41-60

All JobsFinancial Engineer JobsFinancial Engineer Jobs in Seattle, WA

Financial Engineer information

See Seattle, WA salary details

$86.5K

$126.1K

$154.8K

How much do financial engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for financial engineer in Seattle, WA is $126,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $141,700.00 per year, depending on experience, location, and employer.

What is a financial engineer?

A financial engineer, also called a computational engineer, advises clients on investment strategies and risk management based on quantitative analysis of their portfolio and the atmosphere in the stock market. As a financial engineer, your job duties include analyzing the stock market to predict how stocks will perform, building models of trends in the stock market based on market history, and make recommendations on how to manage their portfolio.

What is a financial engineer?

A Financial Engineer is a professional who applies mathematical techniques, computational tools, and financial theory to solve complex problems in finance. They are often involved in designing financial products, developing risk management strategies, and building quantitative models for pricing, trading, and portfolio management. Financial Engineers typically work for banks, investment firms, or financial technology companies, and their expertise is essential for managing financial risks and innovating new financial instruments.

What skills should a financial engineer have?

To thrive as a Financial Engineer, you need a strong background in mathematics, statistics, finance, and programming, typically supported by a degree in quantitative fields such as finance, mathematics, engineering, or computer science. Familiarity with technical tools like Python, R, MATLAB, financial modeling software, and sometimes certifications like CFA or FRM is highly valued. Exceptional problem-solving, analytical thinking, and the ability to communicate complex concepts clearly are vital soft skills. These skills and qualifications are crucial for designing innovative financial models, managing risks, and enabling data-driven decision-making in complex financial environments.

What are some common challenges financial engineers face when developing quantitative models, and how can they address them?

Financial Engineers often encounter challenges such as ensuring model accuracy, dealing with incomplete or noisy data, and adapting models to rapidly changing market conditions. Addressing these issues typically requires strong collaboration with data scientists, risk managers, and traders to validate assumptions and stress-test models under various scenarios. Staying current with industry trends and regulatory requirements also helps Financial Engineers maintain robust, compliant solutions that add value to their organizations.

What is the difference between Financial Engineer vs Quantitative Analyst?

AspectFinancial EngineerQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or engineering; often CFA or FRM certificationsDegree in finance, mathematics, or statistics; often CFA or FRM certifications
Work EnvironmentFinancial institutions, hedge funds, investment banksAsset management firms, hedge funds, investment banks
Job FocusDeveloping complex financial models, derivatives pricing, risk managementData analysis, model development, trading strategies
Common UsageDesigning financial products and strategiesAnalyzing data to inform trading decisions

Financial Engineers and Quantitative Analysts share similar educational backgrounds and certifications, often working in similar environments like investment banks and hedge funds. While Financial Engineers focus on creating complex financial models and derivatives, Quantitative Analysts primarily analyze data to support trading strategies. Both roles require strong quantitative skills and contribute to financial innovation and risk management.

Do financial engineers make a lot of money?

Financial engineers often earn high salaries due to their specialized skills in quantitative analysis, modeling, and programming. Compensation varies based on experience, location, and industry, but many financial engineers have the potential to earn six-figure incomes or more, especially with advanced degrees and certifications like the CFA or FRM.

How much do financial engineers make?

Financial engineers in general earn a median annual salary of around $100,000 to $130,000, with experienced professionals and those working in major financial centers earning higher. Salaries can vary based on experience, education, certifications like CFA or FRM, and the complexity of financial models used. Entry-level positions typically start lower, while senior roles can exceed $200,000 annually.
More about Financial Engineer jobs

What are popular job titles related to Financial Engineer jobs in Seattle, WA?

For Financial Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Financial Engineer jobs in Seattle, WA look for?

The top searched job categories for Financial Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Financial Engineer jobs?

Cities near Seattle, WA with the most Financial Engineer job openings:

Financial Engineer jobs near you
Infographic showing various Financial Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $126,107 per year, or $60.6 per hour.

Data Engineer - Finance

Weekday AI

Bellevue, WA

$60 - $85/hr

Part-time

Posted 21 days ago

Job description

This role is for one of our clients

Compensation: $60 - $85 per hour

A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers its finance operations. You'll join a lean, high-impact team responsible for developing scalable data pipelines, improving data quality, and supporting critical financial initiatives. This is a 6-month, full-time onsite contract with the possibility of extension based on performance and business needs.

Location: Onsite - San Francisco, CA / New York, NY / Bellevue, WA

Requirements

Key Responsibilities
  • Design, build, and maintain robust PySpark-based data pipelines to ensure accurate and timely financial data processing.
  • Write, optimize, and troubleshoot complex SQL queries to extract, transform, and validate large-scale financial datasets.
  • Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions.
  • Own end-to-end data quality by identifying, investigating, and resolving pipeline issues efficiently.
  • Improve the reliability, scalability, and performance of data workflows supporting finance operations.
  • Contribute to architecture discussions and recommend best practices for data engineering and pipeline optimization.
  • Document workflows, data models, and engineering processes to ensure maintainability and knowledge sharing.
Requirements
  • 2-4 years of professional experience as a Data Engineer.
  • Strong hands-on experience with PySpark and distributed data processing frameworks.
  • Advanced SQL skills with experience writing efficient, production-grade queries.
  • Experience building, maintaining, and optimizing large-scale ETL/data pipelines.
  • Ability to work independently while collaborating effectively across cross-functional teams.
  • Bachelor's degree in Computer Science or a related technical discipline.
  • Excellent written and verbal communication skills.
  • Willingness to work onsite full-time.
Preferred Qualifications
  • Experience supporting finance, accounting, or enterprise business data platforms.
  • Familiarity with cloud-based data infrastructure and modern data engineering best practices.
  • Strong analytical and problem-solving abilities with attention to data accuracy.
  • Experience working in fast-paced, high-growth technology environments.
Role Details
  • Employment Type: Independent Contractor
  • Duration: 6-month contract with potential extension
  • Work Arrangement: Full-time, Onsite
  • Locations: San Francisco, CA / New York, NY / Bellevue, WA

Note: This is a hands-on data engineering position focused on building and maintaining production data infrastructure. It is not a business intelligence, reporting, dashboarding, machine learning, or AI research role.

Equal Opportunity

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract & Payment Terms
  • You will be engaged as an independent contractor.
  • This is a full-time onsite engagement.
  • Projects may be extended, shortened, or concluded early based on business needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are made weekly via Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

Apply