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Senior Unified Data/Semantic Engineer ()

Date Posted: Jun 23, 2026
Yearly: USD - USD

Job Detail

  • location_on
    Location Hollywood, Florida, United States of America
  • desktop_windows
    Job Type: Any
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Sep 21, 2026

Job Description

Overview

The Senior Unified Data/Semantic Engineer will design and develop a modular semantic layer framework that integrates with various AI and ML components. This role involves collaborating with multiple teams to ensure the framework adheres to industry standards while maintaining the integrity and accuracy of the semantic layer over time.

Key responsibilities

  • Design and develop a scalable modular semantic layer framework
  • Ensure alignment with industry standards for knowledge representation
  • Develop frameworks and interfaces for AI/ML integration
  • Establish governance processes for maintaining semantic layer integrity
  • Provide training and support to engineering and business teams
  • Continuously enhance the semantic layer based on evolving requirements
  • Collaborate with enterprise architecture, data architecture, and AI/ML teams

Required skills

  • Master's degree in computer science or related field
  • 3 years of experience in framework development and semantic layers
  • Knowledge of data engineering and AI/ML algorithms
  • Proficiency in Python, Scala, or Java programming
  • Experience with large-scale datasets and semantic layer solutions
  • Familiarity with cloud-based data warehousing and transformation tools

What the company offers

Not specified in the original listing.

Skills Required

Company Overview

Hollywood, Florida, United States of America

Placement Services USA, Inc. specializes in providing employment and recruitment services across various industries. Their expertise includes matching candidates with appropriate job opportunities based on skills and experience. Read More

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