Agentic Data Engineer

Job Title: Agentic Data Engineer
Location: Richmond, VA (Remote with Quarterly visit)
Duration: Approx. 9 months (High possibility of an extension)

Job Description:

• Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems
• Client 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:

• Designing and developing data pipelines for agentic systems, develop Robust data flows to handle complex interactions between AI agents and Data sources.
• Ability to train and fine tune large language models
• Design and build the data architecture, including databases, data lakes to support various data engineering tasks.
• Develop and manage Extract, Load, transform (ELT) processes to ensure data is accurately and efficiently moved from source systems to analytical platforms used in data science.
• Implement data pipelines that facilitate feedback loops, allowing human input to improve system performance in human-in-the-loop systems.
• Work with vector databases to store and retrieve embeddings efficiently.
• Collaborate with data scientists and engineers to preprocess data, train models, and integrate AI into applications.
• Optimize data storage and retrieval with high performance
• Statistical analysis, trends, patterns to create data formats from multiple sources.

Qualifications:

• 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.

Skill Matrix:

• 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