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W2// BI Engineer (Looker, LookML)

VensIT CorpTemple, TX🇺🇸United StatesPosted Oct 6, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Temple, TX, United States
Posted
Yesterday
Next.jsSQLSpringSpring BootLookerSSOJavaPostgreSQLPower BITypeScript

Job Description

Role Name: BI Engineer (Looker, LookML)

Work site: Temple, TX (Onsite)

Contract                                                                                                            

 

Job Description

- Design and build a centralized data cockpit consolidating multiple data sources into a seamless, user-friendly experience.

- Develop front-end applications using Next.js, TypeScript, and Tailwind to deliver modern, intuitive visualizations.

- Build and manage backend services (Java, Spring Boot on Cloud Run) to support data delivery and APIs.

- Create and maintain robust BI solutions using Power BI / Fabric, Looker (LookML).

- Develop embedded analytics (Looker Embed or similar) for internal and external vendor-facing products.

- Integrate and orchestrate APIs and data pipelines to enable real-time and batch data access

- Manage data storage and workflows across Cloud SQL (PostgreSQL), GCS, and Pub/Sub.

- Ensure scalable, secure architecture including Okta SSO and enterprise integrations. (Atlassian, Gemini AI)

- Partner with stakeholders to translate business needs into high-impact visual data products.

- Champion data visualization best practices to improve usability and eliminate manual reporting

- Strong experience in full stack development (frontend + backend) in a data-driven environment.

- Proven expertise in data visualization and UX/UI design for BI products.

- Hands-on experience with Power BI / Looker. **(required)**

- Experience with Looker (LookML) or similar BI platforms. **(required)**

- Demonstrated experience with API integrations. **(required)**

- Solid backend/data experience with data modeling, pipelines, and database design. **(required)**

- Experience building embedded analytics solutions. (Looker Embed or similar strongly preferred)

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