Data Integration Engineer - Remote

Overview

The Lead Agentic Data Engineer will design, develop, and deploy data pipelines that power agentic AI solutions for real-world challenges. This role requires expertise in data processing for agentic systems, ensuring data quality, optimizing storage and retrieval, and facilitating seamless interaction between AI agents and data sources.

In Short

• Remote/Hybrid position with quarterly onsite reporting in Richmond, VA.
• Contract length of 10 months.
• Design and develop data pipelines for agentic systems.
• Guide and mentor AI engineers.
• Lead and manage AI projects.
• Implement data pipelines for feedback loops.
• Collaborate with data scientists and engineers.
• Optimize data storage and retrieval.
• Experience with Big Data technologies and ETL/ELT processes.
• Work with vector databases and GIS spatial data.

Requirements

• Understanding of Big Data technologies.
• Experience developing ETL and ELT pipelines.
• Experience with Spark, GraphDB, Azure Databricks.
• Expertise in Data Partitioning.
• 3 years of experience with Data conflation.
• 3 years of experience developing Python Scripts.
• 2 years of experience training LLMs with structured and unstructured data sets.
• 3 years of experience with GIS spatial data.

Benefits

• Opportunity to work on innovative AI projects.
• Flexible work arrangements.
• Mentorship and professional development.
• Collaborative team environment.
• Exposure to cutting-edge technologies.