Data Engineer - AI

Oaks, PENNSYLVANIA, US • Posted 4 hours ago • Updated 49 minutes ago
Contract W2
On-site
DOE
Fitment

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Job Details

Skills

  • Advanced Analytics
  • Data Storage
  • Security Controls
  • Data Quality
  • Analytical Skill
  • Mapping
  • Use Cases
  • Management
  • Collaboration
  • SQL
  • Python
  • Microsoft Azure
  • Analytics
  • Data Engineering
  • Extract
  • Transform
  • Load
  • ELT
  • Data Warehouse
  • Vector Databases
  • LangChain
  • Data Architecture
  • Data Modeling
  • Systems Design
  • Computer Science
  • Artificial Intelligence
  • Machine Learning (ML)
  • Data Governance
  • Regulatory Compliance
  • Cloud Computing

Summary

Job Summary: We are seeking a Data Engineer with expertise in AI-driven analytics to design and build scalable data systems that support advanced analytics and machine learning use cases. This role focuses on developing robust data pipelines, managing modern data storage solutions, and enabling high-quality data for AI models within a cloud-based environment. The ideal candidate will have strong experience with Python, SQL, and Azure, along with exposure to AI frameworks and vector databases. Key Responsibilities: Design and build scalable data ingestion, transformation, and processing pipelines for AI and machine learning applications. Develop and maintain data storage solutions, including vector databases, to support Retrieval-Augmented Generation (RAG). Implement data lineage, validation, and security controls to ensure data quality and reliability. Clean, structure, and prepare complex datasets for analytical and operational use. Support AI-driven analytics and mapping use cases. Work extensively within Azure cloud environments to build and manage data solutions. Collaborate with cross-functional teams to deliver scalable and efficient data architectures. Required Qualifications: 5+ years of experience with strong proficiency in SQL and Python. 5+ years of experience working in Azure cloud environments. 5+ years of experience in AI-driven analytics or related data engineering roles. Experience with ETL/ELT pipeline design and data warehousing. Familiarity with AI tools and frameworks such as vector databases (e.g., Pinecone, Milvus) and frameworks like Hugging Face or LangChain. Strong understanding of data architecture, data modeling, and scalable system design. Bachelors degree in Computer Science or equivalent work experience. Preferred Qualifications: Experience working with advanced AI/ML pipelines and data platforms. Exposure to Retrieval-Augmented Generation (RAG) architectures. Familiarity with data governance, security, and compliance best practices in cloud environments. Education: Bachelors Degree
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: compun
  • Position Id: KUMDC5784004
  • Posted 4 hours ago
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