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Golden Analytics, Inc. is seeking a Software Engineer Intern to ship real code to real customers, building dashboards, visualizations, data prep, and AI-driven features that tie the product together.
You’ll work alongside engineers who want to help you grow, with code going live within days. You’re pursuing a bachelor’s or master’s degree, have hands-on AI tooling experience (Claude Code, Cursor, Copilot), are comfortable with Git, and can commit to 10–12 weeks at our Bellevue office (Mon–Thu).
As a Software Engineer Intern at Golden Analytics, you'll ship real code to real customers. You'll build features people use every day, like dashboards, visualizations, data prep, and the AI that ties it all together. You'll work next to engineers who want to help you grow, and you'll see your work go live within days, sometimes hours.
You don't just use AI tools, you geek out over them. You're all over coding agents and modern dev environments. You strive to learn, and encode that learning in ways today's development systems can use. You have built AI-enabled projects and have guided coding agents to help you move faster. You know the limits of this tech, but push it to help you do more.
There's no barrier between you and our users. You have strong product sense and think like a founder. You understand that the best code is the code that delivers the most customer value, but that you can reliably maintain.
You move fast. You learn fast. You understand that velocity is a feature. You're comfortable with iteration, learning from failures, and pivoting quickly. Perfect is the enemy of shipped. You write scalable code that you can stand behind, but you know when to optimize for delivery speed versus perfection.
You love what you do. There's fire in your belly for building something meaningful. You want to stand with pride next to what you build every day. You want to be on a mission and be part of something that transforms how people work with data.
Golden Analytics is an AI-native BI platform built for data teams who are tired of the tradeoffs in today's tools -- the depth of self-service analytics tools without the rigidity, the accessibility of a modern design tool, and AI that actually augments how analysts work rather than getting in the way.