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Data Engineer

Technocraft Solutions

 

Boca Raton, FL, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Hybrid
Openings: 1
Category: Data Engineer
Tenure: Contract - Corp-to-Corp
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Description

Key Responsibilities

  • Design, develop, and maintain scalable ETL data pipelines for data ingestion, transformation, and delivery across systems
  • Work with both structured and unstructured data sources to support analytics and AI-driven use cases
  • Collaborate with engineering, product, and data teams to integrate AI solutions into existing platforms
  • Support AI development workflows including experimentation, evaluation, deployment, and optimization
  • Perform data preparation, feature engineering, and validation activities for AI/ML models
  • Ensure data quality, reliability, consistency, and performance across pipelines
  • Automate data processes and improve operational efficiency
  • Troubleshoot data pipeline issues and optimize performance for large-scale datasets
  • Create and maintain technical documentation, workflows, and implementation details

Required Skills & Experience

  • 5+ years of experience in Data Engineering, ETL Development, or related technical roles
  • Strong hands-on experience with Python for ETL and data processing
  • Experience designing and maintaining data pipelines in cloud or distributed environments
  • Experience working with large datasets and improving data processing performance
  • Familiarity with AI/ML development workflows and AI solution integration
  • Strong troubleshooting, debugging, and problem-solving skills

Preferred Qualifications

  • Experience with enterprise AI tools and workflows such as:
  • LLM orchestration
  • Prompt engineering/workflows
  • AI copilots or similar AI platforms
  • Experience working in enterprise or regulated data environments
  • Experience collaborating with cross-functional teams including:
  • Product teams
  • Engineering teams
  • Data Science teams

Education Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical field
  • Equivalent hands-on experience in data engineering or AI/ML workflows may be considered in place of a degree

Experience Requirements

  • 5+ years of data engineering, ETL, or related experience
  • 1+ years supporting AI/ML development workflows, including data preparation, model lifecycle support, or AI integration into applications


 

Education

Bachelor's degree

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