Agentic Data Engineer Job at TMS, Richmond, VA

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  • TMS
  • Richmond, VA

Job Description

Job Title: Agentic Data Engineer

Location: Richmond, VA (Hybrid)

Duration: 2-3+ Months

The Virginia Department of Transportation's Information Technology Division is seeking a highly skilled Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems. The ideal candidate will have experience in designing data process to support agentic systems, ensure data quality and facilitating interaction between agents and data.

Responsibilities:

  • Strong Data engineering fundamentals
  • Utilize Big data frameworks like Spark/Databricks
  • Training LLMs with structed and unstructured data sets.
  • Understanding of Graph DB
  • Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks
  • Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search
  • Determine effective data partitioning criteria
  • Utilize data storage system spark to implement partition schemes
  • Understanding core machine learning concepts and algorithms
  • Familiarity with Cloud computing skills
  • Strong programming skills in Python and experience with AI/ML frameworks.
  • Proficiency in vector databases and embedding models for retrieval tasks.
  • Expertise in integrating with AI agent frameworks.
  • Experience with cloud AI services (Azure AI).
  • Experience with GIS spatial data to create markers on maps ( lat long nearest topology of road, geo-locate between datasets, correlation etc.).
  • Experience with Department of Transportation Data Domains developing an AI Composite Agentic Solution designed to identify and analyze data models, connect & correlate information to validate hypotheses, forecast, predict and recommend potential strategies and conduct What-if analysis.
  • Bachelor's or master's degree in computer science, AI, Data Science, or a related field.
Required/Desired Skills
Skill Required /Desired Amount of Experience
Understanding the Big data Technologies Required 1 Years
Experience developing ETL and ELT pipelines Required 1 Years
Experience with Spark, GraphDB, Azure Databricks Required 1 Years
Expertise in Data Partitioning Required 1 Years
Experience with Data conflation Required 3 Years
Experience developing Python Scripts Required 3 Years
Experience training LLMs with structured and unstructured data sets Required 2 Years
Experience with GIS spatial data Required 3 Years

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