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Full Stack Software Engineer - Insight Analytics

3 hours, 39 minutes ago
United States
Full-time
Mid Level
Data 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 a TypeScript frontend and TypeScript Lambda backend.
  • Model data and metrics in Cube.dev and build embedded analytics experiences with Embeddable components.
  • Own the production lifecycle of features, including CI/CD, performance, observability, and post-deploy validation.
  • Implement AWS infrastructure with Terraform, including Lambda, IAM, networking, and storage.
  • Work daily in Claude Code and contribute to the team’s AI context library, prompts, and process improvements.
  • Collaborate with designers, data engineers, and the dashboard configuration lead to validate features against real customer data.
  • Support live-data integration, dashboard configuration, query performance, pre-aggregation, and enterprise security.
  • Participate in architecture and product decisions as part of a small, high-ownership team.

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

Interested in this position?

Apply directly on the company website

Apply Now

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