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Full Stack Software Engineer - Insight Analytics

1 week, 5 days ago
United States
Full-time
Mid Level
Full-stack Engineer
Software Development
AWS CI/CD dbt Node.js Python React Snowflake Terraform TypeScript
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Casino Cash Trac

Casino Cash Trac

Casino Cash Trac offers a comprehensive platform designed specifically for casinos, integrating cash management, analytics, and operational intelligence to enhance efficiency and decision-making across various departments.

Internet Software & Services
Founded 2012
View All Jobs 3

Description

  • Design and ship full-stack features across the TypeScript frontend and TypeScript Lambda backend.
  • Build embedded analytics experiences using React components and Embeddable.
  • Model data and metrics in Cube.dev to support dashboards and reporting.
  • Own the production lifecycle of features, including CI/CD, observability, performance, and post-deploy validation.
  • Implement AWS infrastructure using Terraform, including Lambda, IAM, networking, and storage.
  • Work in Claude Code and help improve the team’s AI context library, prompts, and processes.
  • Collaborate with the designer, data engineers, and dashboard configuration lead to deliver features against real customer data.
  • Support live-data integration, dashboard configuration, query performance, pre-aggregation, and enterprise security.
  • Contribute to architecture and product decisions and participate in code reviews.

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 and comfort reading and contributing to code where it appears.
  • Hands-on experience with AWS in a production environment.
  • Real experience using Claude Code or comparable agentic coding tools in a daily workflow.
  • Experience building analytics or BI products, such as dashboards, drill-downs, semantic modeling, or query performance (bonus).
  • Familiarity with Cube.dev or comparable semantic layers such as dbt + a serving layer, LookML, or AtScale (bonus).
  • Experience with Embeddable or comparable embedded analytics frameworks (bonus).
  • Terraform or other infrastructure-as-code experience (bonus).
  • Experience with serverless architectures and event-driven systems on AWS (bonus).
  • Background with data pipelines, warehouses such as Iceberg, Snowflake, or Redshift, or pre-aggregation strategies (bonus).

Interested in this position?

Apply directly on the company website

Apply Now

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