ZipRecruiter

Log In

1

Decision Engineer Jobs in Seattle, WA (NOW HIRING)

Globenet Consulting Corp

Decision Scientist

Lynnwood, WA · On-site

$50 - $55/hr

Collaborate with cross-functional product, engineering, UX, and operations teams Core Responsibilities Product Analytics and Decision Support * Analyze product, operational, transaction, and digital ...

Decision Six Inc.

IP Test Engineer

Redmond, WA · On-site

IP Test Engineer Redmond, WA (Onsite) Must have skills- IP/MPLS/VPN/VoIP Protocol Testing * * Communication must be very good candidate collaborate with multiple stakeholders and end customers. * 12 ...

Decision Six Inc.

IP Test Engineer

Redmond, WA · On-site

Title: IP Test Engineer Location: Redmond, WA (Onsite) Need Locals Duration: Long Term Contract Must have skills- IP/MPLS/VPN/VoIP Protocol Testing * Communication must be very good candidate ...

Schnabel Engineering

Senior Dam Engineer

Seattle, WA · On-site

$118K - $163K/yr

The Seattle office of Schnabel focuses on the evaluation and design of dams, structures, and facilities as well as advancing our practice of risk informed decision making within our dam engineering ...

next page

Showing results 1-20

All JobsDecision Engineer JobsDecision Engineer Jobs in Seattle, WA

Decision Engineer information

See Seattle, WA salary details

$41.5K

$122.1K

$156.5K

How much do decision engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for decision engineer in Seattle, WA is $122,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $154,800.00 per year, depending on experience, location, and employer.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

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

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

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

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

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

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

Decision Engineer jobs near you

Senior Software Engineer, Decision Intelligence Platform

Remitly

Seattle, WA • On-site

$180K - $225K/yr

Full-time

Re-posted 21 days ago

Job description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:
We are looking for a Senior Software Engineer to help shape Remitly's Decision Intelligence Platform: the core set of capabilities that power experimentation, feature flag management, metrics and semantic definitions, business review tooling, and trusted decision-making across the company. This role sits at the intersection of backend systems, data platforms, internal tools, and developer experience. You will build the foundations that allow teams to launch changes safely, measure impact accurately, standardize critical metrics, and operationalize decision-making through self-serve and reliable platform capabilities.

This is a high-leverage platform role with company-wide impact. You will partner closely with business, product managers, data scientists, analysts, and AI / ML practitioners to build scalable, reliable, and intuitive systems that accelerate innovation while raising the bar on correctness, usability, and operational excellence.

You Will:

  • Design and build backend services that power experimentation, feature flag management, and decision intelligence workflows at scale.

  • Develop core platform capabilities for metrics definitions, semantic layers, and trusted business review tooling.

  • Partner closely with business, product managers, data scientists, analysts, and engineers to deliver end-to-end platform solutions.

  • Improve platform reliability, observability, and usability, with a focus on self-service workflows and data quality.

  • Help shape the long-term architecture for experimentation, measurement, and decision-support systems across Remitly.

You Have:

  • 5+ years of experience developing production applications, ideally in Go, Java, Kotlin, or Python.

  • Hands-on experience designing, building, and operating distributed systems or internal platforms with high reliability needs.

  • Experience with experimentation, feature management, metrics platforms, semantic layers, or analytics infrastructure.

  • Familiarity with cloud platforms, data pipelines, event-driven systems, and modern storage and compute architectures.

  • Cross-functional collaboration skills and the ability to build platform abstractions that are intuitive and scalable.

Compensation Details. The starting base salary range for this position is typically $180,000-$225,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply