Query Engineer

Golden Analytics; Bellevue (WA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Equity

Job summary

Golden Analytics, an AI-native BI platform, is seeking a Query Engineer to build connections to files, databases, cloud services, and data lakes. You will own data integration, design scalable query systems, and engage with customers to translate their data needs into practical solutions.

You’ll work with AI-enabled tooling, shipping features rapidly, balancing speed and quality, and helping customers unlock insights from their data.

Qualifications

• 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.

Responsibilities

• Build and own connectors to data platforms.
• Ingest, transform, and analyze data at scale.
• Develop a query layer that talks to various databases and enables rich operations.
• Collaborate with customers to translate data needs into practical solutions.

Skills

SQL

Full stack

TypeScript

React

AI/ML experience

Product thinking

Customer oriented

Ambiguity handling

Tools

Vite

Node

Postgres

Vercel

Supabase

React

Job description

About this position

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.

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 customers 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

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.

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
• And actually having fun at your job again