AI-Driven Data Engineer: Data Mesh & AI Agents (Onsite)

Robotics Technologies; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

Robotics Technologies in Jersey City, NJ is seeking a Data Engineer to build AI-driven data workflows with secure integrations and governance. You will design data mesh/fabric architectures and develop agent-based BI tooling, while coordinating with business users to translate requirements into scalable data solutions.

The role emphasizes hands-on development, testing, and collaboration across teams to ensure robust data systems and auditable processes. Onsite work in Jersey City.

Qualifications

• 2+ years with AI-assisted engineering tools across the SDLC.
• 2+ years designing Agentic AI using prompts, LLMs, and governance.
• Proficient in Python, Java, TypeScript, and SQL for enterprise use.

Responsibilities

• Use GitHub Copilot to analyze code, implement changes, test, and document.
• Build and operate AI agents that plan multi-step workflows using LLMs.
• Develop MCP integrations to securely connect AI with enterprise APIs.
• Create UI automation agents using Playwright for enterprise workflows.
• Define agent evaluation, observability, safety controls, and audits.
• Design data mesh and data fabric architectures for decentralized data.
• Develop data/BI agents to generate SQL, DAX, models, and reports.
• Create user/business personas aligned with data needs.
• Collaborate with business users to translate specs into designs.
• Work with cross-functional teams on prototypes, SIT/UAT, and bug triage.
• Analyze data to inform BI integration designs and governance.

Skills

GitHub Copilot

Agentic AI

Python

Java

TypeScript

SQL

Tools

Playwright

Model Context Protocol (MCP)

APIs

Job description

Robotics Technologies in Jersey City, NJ is seeking a Data Engineer to build AI-driven data workflows with secure integrations and governance. You will design data mesh/fabric architectures and develop agent-based BI tooling, while coordinating with business users to translate requirements into scalable data solutions.

The role emphasizes hands-on development, testing, and collaboration across teams to ensure robust data systems and auditable processes. Onsite work in Jersey City.