Full Stack Software Engineer - Insight Analytics

CCT•Tulsa, OK

About The Position

We're hiring a full stack engineer to help us ship a next-generation analytics product for the gaming and hospitality industry. You'll join a small, senior team building a unified reporting and insights platform from the ground up, with a Beta release this summer and GA later in the year. You'll work across our TypeScript stack with embeddable React components on the frontend and TypeScript Lambda backends on AWS to deliver dashboards, drill-throughs, and the operational machinery (CI/CD, observability, query performance, distribution) that turns features into a production-grade product. We use Cube.dev as our semantic layer and Embeddable for our customer-facing analytics surfaces. The team is small and the surface area is wide. In the next twelve months, the work spans live-data integration, dashboard configuration, query performance and pre-aggregation, and enterprise security. You should expect to own features end-to-end, from technical design through deploy and validation. We build with AI-first development practices. Claude Code is a core part of how we work, not a side experiment, and we treat investing in our shared context library, prompts, and process as part of the job. To be clear: we're a spec-driven shop, not a vibe-coding shop. AI lets us move faster on real architecture and real engineering; it doesn't replace the thinking.

Requirements

3–5 years of professional software engineering experience shipping production systems.
Strong working knowledge of TypeScript across frontend (React) and backend (Node/Lambda or similar).
Familiarity with Python. We don't write a ton of it in this role, but enough that you should be comfortable reading and contributing where it shows up.
Real experience using Claude Code or comparable agentic coding tools as part of your daily workflow.
Hands-on experience with AWS in a production environment.

Nice To Haves

Experience building analytics or BI products (dashboards, drill-down, semantic modeling, query performance).
Familiarity with Cube.dev or comparable semantic layers (dbt + a serving layer, LookML, AtScale, etc.).
Experience with Embeddable or comparable embedded analytics frameworks.
Terraform or other IaC. You don't need to be the AWS expert on the team, but if you can spin up your own infrastructure and bring it for review, that's a strong plus.
Experience with serverless architectures and event-driven systems on AWS.
Background working with data pipelines, warehouses (Iceberg, Snowflake, Redshift, etc.), or pre-aggregation strategies.

Responsibilities

Design and ship full-stack features across our TypeScript frontend and TypeScript Lambda backends.
Model data and metrics in Cube.dev; build embedded analytics experiences using Embeddable components.
Own the production lifecycle of your features: CI/CD, performance, observability, and post-deploy validation.
Implement your own AWS infrastructure (Lambda, IAM, networking, storage) using Terraform; we have a dedicated AWS engineer who will review and partner with you on the harder pieces.
Work day-to-day in Claude Code and contribute to the team's AI context library, prompts, and process improvements.
Pair with our designer, data engineers, and dashboard configuration lead to land features that hold up against real customer data.