Full Stack Engineer Data Analytics Platform

Full Stack Engineer (Data & Analytics Platform)

Location: Temple, TX (Onsite)

Key Responsibilities

• Design and develop a centralized data cockpit/dashboard integrating multiple enterprise data sources.
• Build modern, responsive frontend applications using Next.js, TypeScript, and Tailwind CSS .
• Develop scalable backend services and APIs using Java and Spring Boot deployed on GCP Cloud Run .
• Create and maintain enterprise BI solutions using Power BI, Microsoft Fabric, and Looker (LookML) .
• Develop and support embedded analytics solutions (Looker Embed or similar).
• Design and integrate APIs, data pipelines, and real-time/batch data processing workflows.
• Manage data platforms utilizing PostgreSQL (Cloud SQL), GCS, and Pub/Sub .
• Implement secure enterprise integrations including Okta SSO, Atlassian, and Gemini AI services .
• Collaborate with business stakeholders to deliver impactful analytics and data visualization solutions.

Must-Have Skills

Power BI / Microsoft Fabric (Hands-on experience required)



Looker & LookML (Required)



API Integration & Development (Required)



Data Modeling, Data Pipelines & Database Design (Required)



Java & Spring Boot Backend Development



Next.js, TypeScript, Tailwind CSS Frontend Development



PostgreSQL / Cloud SQL



Embedded Analytics (Looker Embed or Similar)



GCP Cloud Technologies (Cloud Run, GCS, Pub/Sub)



Okta SSO & Enterprise Integrations

Preferred Qualifications

• Experience building end-to-end analytics platforms or data products.
• Strong background in BI Engineering, Data Engineering, or Data-Centric Full Stack Development.
• Experience in Supply Chain, Manufacturing, or Enterprise environments.
• Exposure to AI integrations such as Google Gemini .