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Full-time
Competitive salary, Equity
Posted 31d ago
~40 hrs/week
Responsibilities
You will build and maintain connections to various data platforms and develop a query layer that balances expressiveness with speed. Additionally, you will engage directly with customers to gather feedback and translate their needs into scalable data solutions.
Requirements
Candidates must have 5+ years of experience in data product internals, including SQL and cloud-based database systems. Proficiency in full-stack development with technologies like React, Node, and TypeScript, along with experience in AI/ML integration, is required.
Full job description
The Role
As a Query Engineer at Golden Analytics, you’ll build and own our connections to the world - files, databases, cloud services, data lakes - we will go to where our customer’s data resides. You’ll help us build connectors and query systems that balance expressiveness and speed, pushing to help our customers get more from their data. This isn't a role where you hand off specs and wait for feedback. You’ll talk to customers about their data issues, propose and build solutions, and get them out to customers quickly.
What We're Looking For
AI Zealots
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 shipped AI-enabled solutions 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.
Customer Obsessed
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're comfortable jumping on customer calls, gathering feedback, and translating that directly into what you build.
Velocity Driven
You move fast. You learn fast. You ship 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.
Passionate Builders
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.
What You'll Build
Connections to a wide variety of data platforms
Functionality to ingest, transform, and analyze data at scale
A query layer that can talk to a wide variety of databases and express rich operations
Smart data preparation and enrichment
Data modeling for analysis
Requirements
5+ years of experience working on the internals of data products with strong development experience at the data layer - SQL, cloud-based database systems, data lakes, data interchange formats and techniques. You have built these layers, not just used them as a data engineer.
Full stack development experience and integration with cloud-deployed customer-facing applications - Vite, Node, TypeScript, React, Postgres, Vercel, Supabase (and more as we grow)
Experience building with AI/ML technologies (LLMs, vector databases, coding agents, etc.)
Track record of shipping rich data-focused products
Product thinking and customer orientation
Comfort with ambiguity and rapid iteration
Why Join Us
Ground floor opportunity at a well-funded startup (backed by top-tier VCs)
Work directly with founders and customers
Shape product decisions and company culture
Competitive salary and equity
Embrace new technologies to help be amazing for our customers
Oh and not to mention doing the best work of your life
Golden is an AI-native BI platform that makes data easy, powerful & beautiful.
Industry
Data Infrastructure and Analytics
Company size
2-10 employees
Founded
2026
Headquarters
Bellevue, WA
LinkedIn followers
553
Total funding
$21M
Golden Analytics is an AI-native BI platform built for data teams who are tired of the tradeoffs in today's tools. Golden provides 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.
Offices: 800 Bellevue Way NE, suite 500, Bellevue, WA 98004, US
business intelligencedataand AI-native analyticsData IntegrationData ManagementAnalyticsArtificial Intelligence (AI)
How much do Data & Analytics jobs in Bellevue, WA pay?
Based on 427 listings with disclosed salaries, most data & analytics jobs in Bellevue, WA pay between $103k–$239k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Bellevue, WA right now?
There are currently 460 open data & analytics positions in Bellevue, WA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Bellevue, WA?
Companies currently hiring include Amazon, Snowflake, T-Mobile, PACCAR India, Meta, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Bellevue, WA?
Yes — 133 of the 460 open data & analytics positions offer remote or hybrid work (16 remote, 117 hybrid).
How do I apply for Data & Analytics jobs in Bellevue, WA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.