Lead Data Engineer

TechDigital Group; St. Louis (MO); On-site; USD 110,000 - 150,000; Full time

Job summary

TechDigital Group is looking for a Lead Data Engineer with strong Agentic AI experience in St. Louis, Missouri. Ideal candidates will have hands-on experience designing multi-agent architectures and practical knowledge of AI protocols. Proficiency in Google BigQuery, SQL, and Python programming is essential. Strong problem-solving and leadership skills are also required for this role. Join our team to contribute to innovative AI solutions leveraging the latest technologies.

Qualifications

• Evidence of building Agentic workflows ideally delivered into a real project.
• Hands-on designing/implementing systems where multiple AI Agents collaborate.
• Candidates must be able to name frameworks used and explain their relevance.

Skills

Applied Agentic AI engineering experience

Multi-agent architecture experience

Understanding of agentic frameworks/tools

Protocols knowledge (MCP, A2A, ACP)

Proficiency in Google BigQuery

Strong SQL skills

Advanced knowledge of Python

Experience with Google Dataflow

Problem-solving skills

Excellent communication skills

Job description

Lead Data Engineer with Agentic AI experience

Core must-haves (screen for these explicitly)

• Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project.
• Modern multi-agent architecture experience: hands‑on designing/implementing systems where multiple AI Agents collaborate.
• Strong understanding of agentic frameworks/tools: candidates must be able to name the frameworks used, explain why chosen, and describe components.
• Protocols knowledge with practical relevance: working knowledge (preferably applied) of MCP, A2A, ACP—and ability to explain how they're used in real‑world AI Agent systems.
• Architecture & design contribution capability: candidate should be able to contribute to solution architecture, discuss trade‑offs/pros‑cons, and guide design decisions for agentic systems.
• Proficiency in Google BigQuery for data warehousing and analytics.
• Strong SQL skills for querying and managing large datasets.
• Advanced knowledge of Python programming language for data manipulation and analysis.
• Experience with Google Dataflow for real‑time data processing and ETL pipelines.
• Strong problem‑solving and analytical skills.
• Excellent communication and leadership abilities to effectively lead a technical team.