Full Stack Software Engineer – Insight Analytics

CCT

Full Stack Engineer developing a next-generation analytics product for gaming and hospitality industries. Building a unified reporting and insights platform with a small, senior team on a TypeScript stack.

Posted 7/17/2026full-timeTulsa • Oklahoma • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack development with TypeScript, including frontend and backend systems, while effectively managing AWS infrastructure and analytics solutions. Proficient in CI/CD processes and building embedded analytics experiences.

Highest-signal resume keywords

TypeScript Frontend DevelopmentAWS Infrastructure ManagementEmbedded Analytics FrameworksTerraform Infrastructure as CodeData Pipeline Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptReactNodeAWSTerraformPythonCube.devEmbedded AnalyticsServerless ArchitecturesData Warehousing

Tools & Technologies

Claude CodeCI/CDEvent-Driven SystemsAnalytics ProductsBI Tools

Industry Keywords

Production SystemsPerformance ObservabilitySemantic ModelingDrill-Down AnalyticsPre-Aggregation Strategies

Tech Stack

Tools & technologies

Amazon RedshiftAWSNode.jsPythonReactTerraformTypeScript

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

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.
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.
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.
Experience with serverless architectures and event-driven systems on AWS.
Background working with data pipelines, warehouses (Iceberg, Snowflake, Redshift, etc.), or pre-aggregation strategies.

Benefits

Comp & perks

AI tooling is part of how we build. We're investing in it deliberately and continuously, not as a novelty.
Small team, high ownership, low ceremony. Engineers carry features end-to-end, weigh in on architecture and product decisions, and contribute to each other's reviews. Even as we grow, we expect that to stay true: more hands on the work, but the same expectation that you own what you ship.