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Internship Quantitative Developer Jobs in Kirkland, WA

Kiewit Scholars - Summer 2027 Internship

Seattle, WA · On-site

$19 - $24.75/hr

Our Design Engineer Interns are a part of our teams that supports all aspects of the construction process by performing innovative design engineering through brainstorming conceptual designs ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... quantitative testing of the technical specifications of the product. A team's experience ranges ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... quantitative testing of the technical specifications of the product. A team's experience ranges ...

Intern Program - Engineering Pathways

Seattle, WA · Hybrid

$19 - $24.75/hr

Internships span several areas, with some projects crossing more than one: Hardware & Chip Design ... quantitative field. Some opportunities may require a specific degree level, area of study or ...

Onsite What You Get Out of the Internship At Stryker, we believe that developing the next ... quantitative testing of the technical specifications of the product. A team's experience ranges ...

Strong analytical and problem-solving skills with comfort working in quantitative environments ... Internship or early professional experience in performance engineering, infrastructure, or systems ...

Project Engineer

Bothell, WA · On-site

$80 - $90/hr

Perform internal training relative to operations as needed for Sales, PM interns and PC'S. * Assist ... Strong quantitative analysis and critical thinking skills . * Ability to learn the specifications ...

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Internship Quantitative Developer information

What does an internship quantitative developer do?

An Internship Quantitative Developer assists in designing and implementing quantitative models and tools used in financial analysis, trading, or risk management. They work closely with quantitative analysts and software engineers to develop algorithms, analyze data, and optimize trading strategies. The role typically involves programming, data analysis, and collaborating on research projects, providing valuable hands-on experience in quantitative finance.

What kinds of projects and tasks can an internship quantitative developer expect to work on during their internship?

As an Internship Quantitative Developer, you can expect to work on a variety of projects such as developing and optimizing trading algorithms, analyzing large financial data sets, and creating back-testing frameworks to evaluate model performance. You may also assist in implementing code for pricing, risk management, or automated trading strategies under the guidance of senior quants and developers. Collaboration is common, as you’ll often work closely with quantitative analysts, traders, and software engineers to understand requirements, troubleshoot issues, and refine solutions. This hands-on exposure provides valuable learning opportunities and can be a stepping stone toward a full-time quantitative or developer role.

What are the key skills and qualifications needed to thrive as an internship quantitative developer, and why are they important?

To thrive as an Internship Quantitative Developer, you need a solid background in mathematics, statistics, and programming—typically supported by progress toward a degree in quantitative fields like computer science, engineering, or finance. Familiarity with technical tools such as Python, C++, MATLAB, and version control systems, as well as experience with financial data platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and interpret complex data. These competencies are crucial for developing robust quantitative models and contributing meaningfully to financial technology projects in a fast-paced environment.

What is the difference between Internship Quantitative Developer vs Quantitative Analyst?

AspectInternship Quantitative DeveloperQuantitative Analyst
Required CredentialsUndergraduate or graduate degree in finance, math, or computer science; programming skillsDegree in finance, economics, or related field; strong analytical skills
Work EnvironmentInternship setting within financial firms, focusing on coding and model developmentFull-time role analyzing data, developing models, and providing trading insights
Employer & Industry UsageUsed by hedge funds, investment banks, and asset managers during internship programsCommon in investment firms, banks, and hedge funds for ongoing analysis

Internship Quantitative Developers typically focus on coding and developing trading algorithms during their internship, while Quantitative Analysts analyze data and develop models in a full-time capacity. Both roles require strong quantitative skills, but the internship is a temporary entry point, whereas the analyst role is a permanent position.

What are popular job titles related to Internship Quantitative Developer jobs in Kirkland, WA?

For Internship Quantitative Developer jobs in Kirkland, WA, the most frequently searched job titles are:

What job categories do people searching Internship Quantitative Developer jobs in Kirkland, WA look for?

The top searched job categories for Internship Quantitative Developer jobs in Kirkland, WA are:

What cities near Kirkland, WA are hiring for Internship Quantitative Developer jobs?

Cities near Kirkland, WA with the most Internship Quantitative Developer job openings:

Infographic showing various Internship Quantitative Developer job openings in Kirkland, WA as of August 2026, with employment types broken down into 10% Internship, 71% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Developer Advocate - AI & Developer Experiences

Snowflake

Bellevue, WA • On-site

$110 - $170/hr

Other

Posted 14 days ago


Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn’t just to execute a function, but to help redefine the future of how work gets done.

ABOUT THE ROLE

Snowflake’s mission is to mobilize the world’s data as the AI Data Cloud. Our AI and developer products help developers and data teams build, deploy, and operate modern data and AI applications.

We’re looking for an early-career Developer Advocate who is passionate about developer experience, AI, data, and education. You will help builders discover, adopt, and succeed with Snowflake’s AI and developer portfolio by creating high-quality technical content, demos, workshops, and community programs. You will work closely with Product, Engineering, Marketing, Community, and field teams, while bringing developer feedback back into the product.

AS A DEVELOPER ADVOCATE AT SNOWFLAKE, YOU WILL:
  • Create technical content and adoption assets: Build clear, accurate documentation, quickstarts, tutorials, code samples, demos, and reference applications for developers and data practitioners.

  • Turn complex AI, data, and application-development concepts into approachable, practical learning experiences.

  • Contribute reusable patterns, templates, and playbooks that help builders move from first use to production.

  • Support launches and developer programs: Help prepare priority AI and developer products for launch by testing developer journeys, identifying friction, and creating day-one enablement assets.

  • Design and deliver workshops, hackathons, talks, and hands-on labs for customers, partners, students, and developer communities.

  • Work with field and go-to-market teams on customer-ready demos, solution briefs, presentations, and technical walkthroughs.

  • Connect developers and product teams: Gather feedback from community, customers, field teams, support, documentation, and product usage, then synthesize it into clear developer insights.

  • Partner with Product and Engineering to improve onboarding, documentation, samples, APIs, tools, and the overall developer experience.

  • Use qualitative feedback and adoption metrics to evaluate your work and improve content and programs over time.

  • Represent Snowflake in the developer ecosystem: Participate authentically in developer, data, AI, and open-source communities through events, forums, technical content, and contributions.

  • Build relationships with practitioners, learn where they get stuck, and help them succeed with Snowflake and the broader ecosystem.

  • Share emerging developer needs, tools, and practices with internal teams.

OUR IDEAL CANDIDATE HAS:
  • Completion of a Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, Data Science, Human-Computer Interaction, or a related technical field, or equivalent practical experience.

  • A strong technical foundation and experience building software products demonstrated through prior roles, internships, coursework, open-source contributions, or substantial personal projects.

  • Hands-on experience with developer tools, APIs, SDKs, CLI tools, source control, CI/CD etc.

  • Familiarity with modern AI development, including prompting, grounding, evaluation, RAG, agents, tool calling, or LLM APIs.

  • Excellent written and verbal communication, with the ability to explain technical concepts through clear narratives, examples, and presentations.

  • Comfort presenting and facilitating technical sessions for groups with different levels of experience.

  • A bias for action and ownership: you can structure ambiguous problems, learn quickly, seek feedback, and iterate.

  • Strong collaboration skills and experience working across technical and non-technical teams through school, internships, community work, or prior roles.

BONUS POINTS:
  • Internship, co-op, or project experience as a software, data, ML/AI, or solutions engineer.

  • Experience with Snowflake or another cloud data platform.

  • Understanding of data and analytics workflows such as SQL, ELT/ETL, notebooks, dbt, data science, or application development.

  • Contributions to open-source projects, technical blogs, documentation, videos, or developer communities.

  • Experience organizing hackathons, meetups, workshops, student clubs, or other technical community programs.

  • Experience measuring content, community, or product adoption using quantitative and qualitative signals.

WHY JOIN THIS TEAM?
  • Help shape how developers and data teams build with AI at a strategic moment for Snowflake.

  • Create high-impact developer experiences used by customers and practitioners around the world.

  • Learn from experienced advocates, product managers, engineers, and AI practitioners while owning meaningful work from day one.

  • Be part of a culture that values thoughtful craftsmanship, velocity, collaboration, and customer obsession.

If you are excited about AI, data, developer tools, and helping other builders succeed, we’d love to hear from you.

Our Human Resources Department may use artificial intelligence to support its administrative processes.

This role is available and may represent a new position.

This role is exempt from Ontario’s job posting requirements.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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