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Scientific Programmer Jobs in Seattle, WA (NOW HIRING)

Team Red Dog

Scientific Software Engineer

Redmond, WA · On-site

Team Red Dog is hiring a Scientific Software Engineer for our client, a Fortune 50 technology leader and AI-driven technology organization. In this role, you'll develop customer-facing software ...

Deloitte

Senior AI Engineer - SFL Scientific

Seattle, WA · On-site

$118K - $163K/yr

SFL Scientific, a Deloitte Business, is looking to add a Senior AI Engineer to their vibrant environment. SFL Scientific is part of our broader Strategy Offering within the Strategy & Transactions ...

Amazon

Research Scientist III - AMZ10061595

Seattle, WA · On-site

$164K - $215K/yr

Work closely with software engineering teams to deploy innovations. Mentor and coach junior scientists, including through lunch-and-learn sessions, tech talks, and regular office hours. Publish ...

Amazon

Data Engineer, PXT Central Science

Seattle, WA · On-site

$130K - $156K/yr

The PXT Central Science team is looking for a Data Engineer. This individual will join a team of economists and scientists to own and accelerate science and analytics in our rapid employee ...

Microsoft

Applied Scientist

Redmond, WA · On-site

In this role, you will collaborate closely with scientists, engineers, and product teams to develop and deploy production-ready solutions. You will conduct experiments, analyze large-scale data sets ...

Uw

Research Scientist/Engr 2

Seattle, WA · On-site

$96K/yr

Key Responsibilities Scientific platform development and project execution (50%) - end-to-end ... Computation/programming (25%) - execution of, and contribution to, machine learning codebase ...

Adobe

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

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All JobsScientific Programmer JobsScientific Programmer Jobs in Seattle, WA

Scientific Programmer information

See Seattle, WA salary details

$12

$45

$81

How much do scientific programmer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for scientific programmer in Seattle, WA is $45.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $65.38 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, petroleum engineering, or aerospace engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. These roles typically require advanced skills, extensive experience, and often involve leadership or executive responsibilities.

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

To thrive as a Scientific Programmer, you need a solid background in computer science, mathematics, or a related field, along with strong programming skills in languages like Python, C++, or R. Familiarity with scientific computing libraries (such as NumPy, SciPy), data analysis tools, and version control systems like Git is typically required, and experience with high-performance computing or parallel processing is a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills that distinguish top performers in this role. These skills and qualities are crucial for developing reliable, efficient code to support complex scientific research and for collaborating effectively within multidisciplinary teams.

Can I work at NASA being a programmer?

Scientific programmers can work at NASA by developing software for mission operations, data analysis, or simulations. They typically need strong programming skills in languages like C++, Python, or Fortran, along with a background in science or engineering. Security clearances and specialized knowledge of aerospace systems are often required for certain roles.

What is the difference between Scientific Programmer vs Data Analyst?

AspectScientific ProgrammerData Analyst
Required CredentialsBachelor's or higher in Computer Science, Physics, or related fields; programming skillsBachelor's or higher in Statistics, Data Science, or related fields; analytical skills
Work EnvironmentResearch labs, scientific institutions, academia, industry R&DBusiness, finance, healthcare, marketing sectors
Employer & Industry UsageResearch organizations, universities, scientific companiesCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding technical roles in scientific computingAnalyzing data to inform decisions

Scientific Programmers focus on developing software and algorithms for scientific research, often working with complex simulations and data modeling. Data Analysts interpret data sets to generate insights and support decision-making. While both roles require strong programming skills and analytical thinking, Scientific Programmers are more involved in software development for scientific purposes, whereas Data Analysts focus on data interpretation and reporting.

What are scientific programmers?

Scientific programmers are professionals who develop, implement, and optimize software solutions for scientific research and data analysis. They work closely with scientists and researchers to translate complex scientific problems into computational algorithms, scripts, and tools. Their work often involves programming in languages like Python, C++, or R, and may include tasks such as data processing, simulation, modeling, and visualization. Scientific programmers play a crucial role in advancing research by making scientific computations more efficient and reproducible.

Is a programmer a scientist?

A scientific programmer is a professional who applies programming skills to scientific research, data analysis, and modeling. While they use scientific methods and often work closely with scientists, they are primarily skilled in coding and computational techniques rather than conducting original scientific research. Their role bridges programming and scientific inquiry, often requiring knowledge of specific scientific domains and tools like MATLAB, Python, or R.

What Does a Scientific Programmer Do?

The duties of a scientific programmer are to design a variety of tools for researchers to perform statistical and mathematical modeling on large datasets. They often work within a specific framework or software, and their responsibilities are to script tools that make it easier for scientists to use the programs or models. Their duties may include designing a new user interface or creating shell scripts for the UNIX or Linux operating systems. A scientific programmer also conducts code review and quality assurance tasks to ensure that programs are ready to be used. Qualifications include a bachelor’s degree in computer science, bioinformatics, or computational biology. If you want to specialize in a particular discipline, you may need additional experience or advanced qualifications.

What tech jobs pay 400,000 a year?

Scientific programmers working in high-level research, data science, or specialized software development can reach salaries of $400,000 or more, especially with advanced skills in machine learning, large-scale computing, or domain-specific expertise. Such roles often require extensive experience, advanced degrees, and proficiency with programming languages like Python, C++, or Fortran, as well as familiarity with high-performance computing environments.

How does a Scientific Programmer typically collaborate with researchers and other technical staff on projects?

Scientific Programmers often work closely with research scientists, data analysts, and IT teams to develop and optimize software tools for scientific studies. They participate in project meetings to understand research goals, translate scientific requirements into code, and troubleshoot issues that arise in computational workflows. Effective communication and teamwork are essential, as Scientific Programmers must ensure their solutions align with both technical standards and the scientific objectives of the research team.
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What are popular job titles related to Scientific Programmer jobs in Seattle, WA? For Scientific Programmer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Scientific Programmer jobs in Seattle, WA look for? The top searched job categories for Scientific Programmer jobs in Seattle, WA are:
Scientific Programmer jobs near you
Infographic showing various Scientific Programmer job openings in Seattle, WA as of July 2026, with employment types broken down into 4% Internship, 75% Full Time, 4% Part Time, and 17% Contract. Highlights an 83% In-person, 4% Hybrid, and 13% Remote job distribution, with an average salary of $94,371 per year, or $45.4 per hour.
Scientific Software Engineer

Scientific Software Engineer

Team Red Dog

Redmond, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Team Red Dog is hiring a Scientific Software Engineer for our client, a Fortune 50 technology leader and AI-driven technology organization. In this role, you'll develop customer-facing software, maintain GitHub repositories, and build reusable AI agents and community assets that support scientists and data scientists solving complex research challenges. You'll apply modern software engineering practices to scientific computing, machine learning, and simulation-based workflows while working with cutting-edge AI and LLM technologies. This position offers the opportunity to contribute to impactful research initiatives while helping establish best practices for AI-powered scientific software development.
Top Required Skills (Must Haves):
  1. GitHub & Version Control (1-2+ years): Experience maintaining GitHub repositories, managing customer-facing codebases, collaborating through version control, and publishing reusable software assets.
  2. AI, LLMs & Agentic AI (1-2+ years): Working knowledge of large language models, AI agents, APIs, MCP, and machine learning concepts used to develop intelligent software solutions.
  3. Scientific Software Development (1-2+ years): Experience applying software engineering practices to scientific computing, computational science, simulation, or research-based applications.
  4. Programming & Software Engineering: Strong coding skills with the ability to write maintainable, reusable code while supporting technical customers and collaborating with multidisciplinary engineering teams.

Opportunity Overview:
This team enables scientists and data scientists by developing software that accelerates research, experimentation, and AI-driven discovery. You'll own customer-facing GitHub repositories, write production-quality code, and create reusable software components that improve scientific workflows across machine learning, simulation, and computational science projects. If you enjoy solving challenging technical problems while working at the intersection of software engineering, AI, and scientific research, this role provides exceptional exposure to emerging technologies and real-world innovation.
How you will make an impact:
  • Develop, maintain, and own customer-facing GitHub repositories.
  • Write high-quality, reusable software that supports scientific and data science customers.
  • Build repeatable AI agents and publish reusable community assets that establish engineering best practices.
  • Collaborate with product teams to onboard and support customers.
  • Apply software engineering principles to scientific computing and computational research problems.
  • Support machine learning, AI, and simulation-related initiatives.
  • Troubleshoot software issues and implement technical improvements.
  • Contribute to coding standards, version control, and collaborative software development practices.

The expertise you bring:
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • 1-2+ years of experience using GitHub and modern version control practices.
  • 1-2+ years of experience working with AI, LLMs, APIs, MCP, or machine learning technologies.
  • 1-2+ years of experience applying software engineering practices within scientific computing, computational science, simulation, or related technical domains.
  • Strong programming and software development skills.
  • Experience troubleshooting technical issues and improving software quality.
  • Excellent verbal and written communication skills.
  • Ability to collaborate effectively with engineers, researchers, and technical customers.
  • GitHub portfolio demonstrating previous software development work.

What makes a candidate highly successful in this role:
Candidates who stand out have hands-on experience applying software engineering skills to scientific or research-focused environments rather than solely traditional application development. They demonstrate strong GitHub practices, understand modern AI and agentic AI technologies, and have experience building reusable software that supports machine learning, computational science, or simulation workflows. A portfolio of open-source contributions or customer-facing GitHub repositories, combined with curiosity for emerging AI technologies, will set candidates apart.
Why Work with Team Red Dog?
At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions-because we believe your career should reflect who you are.
Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us-and discover what it means to be genuinely valued in your career.
Generous benefits package for qualified employees includes:
  • Health insurance (medical, dental, vision, and life)
  • Employer-matched 401K plan
  • Paid time off
  • Paid holidays

Estimated Start Date: Immediately
Location: Fully Remote (U.S.); West Coast preferred with flexibility to support PST, EST, or European collaboration.
Job #: 2554
Job Type and Estimated Duration: W2 contract opportunity through 12/31/2026 with potential for extension up to 18 months subject to performance, budget and client discretion.
Rate: $7,200/month
Team Red Dog is committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to hr@teamreddog.com, and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment.
We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge.
  • All applicants must be authorized to work in the U.S. without the need for sponsorship.
  • Team Red Dog is an E-Verify employer.
  • Employment is contingent upon the successful completion of a reference and background check.
  • Please no solicitations from C2C or recruiting firms.

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