Data Engineer

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 is hiring a Data Engineer for an onsite role in Jersey City, NJ. In this position, you will work on AI-agent-driven workflows that support data engineering and reporting, while contributing to secure integrations, governance controls, and agent evaluation practices. The work also includes designing data mesh and data fabric architectures to support decentralized data management.

Responsibilities

• Use GitHub Copilot as a hands-on engineering environment to analyze existing code, implement production-quality changes, generate and maintain tests and documentation, debug failures, review proposed changes, and confirm outcomes with executable evidence.
• Design, build, test, and operate AI agents that plan and execute multi-step workflows using LLM reasoning, structured prompts, context and memory, retrieval, APIs, data tools, and human approval gates.
• Develop tool-enabled agents and Model Context Protocol (MCP) integrations to securely connect AI assistants with enterprise APIs and platforms, including BI/reporting services, data products, work-management systems, and operational knowledge sources.
• Build browser and UI automation agents for authenticated enterprise workflows, including evidence capture, regression testing, test generation and healing, and operational workflows using Playwright and browser developer protocols.
• Define agent evaluation, observability, and safety controls, including grounded-response checks, deterministic tool contracts, structured outputs, least-privilege credential handling, approval checkpoints, test datasets, execution traces, failure recovery, and measurable quality and productivity outcomes.
• Develop and implement data mesh and data fabric architectures that enable decentralized data management and access.
• Build data and BI development agents to generate and validate SQL, DAX, semantic models, reports, data-product specifications, quality tests, and deployment artifacts while preserving governance, auditability, and human review.
• Create user personas and business personas aligned with data requirements to deliver solutions that meet business needs.
• Partner with business users to translate functional specifications into technical designs for implementation and deployment.
• Collaborate with cross-functional teams to build prototypes, produce design artifacts, develop components, support SIT and UAT testing, and triage and fix bugs.
• Apply problem-solving expertise and complex analysis of data to develop business intelligence integration designs.
• Ensure high quality and optimum performance of data systems to meet business expectations.

Requirements

• 2+ years of hands-on experience using GitHub Copilot or similar AI-assisted engineering tools across the software development lifecycle, including requirements analysis, coding, refactoring, testing, debugging, documentation, code review, and verification.
• 2+ years of hands-on experience designing and building Agentic AI solutions using prompt and context engineering, LLMs, RAG, structured tool/function calling, APIs, memory or state management, human-in-the-loop controls, and AI governance principles.
• Hands-on programming experience in Python, Java, TypeScripts, and SQL, including the ability to design agent tools, API clients, MCP servers, command-line workflows, typed data contracts, and automated tests for enterprise use cases.
• Experience integrating agents with enterprise authentication, APIs, databases, knowledge repositories, BI platforms, and browser automation while protecting credentials, sensitive data, and audit trails.
• Demonstrated ability to evaluate agent quality through unit, integration, behavioral, and end-to-end tests; diagnose hallucinations and tool failures; instrument execution; and improve prompts, retrieval, context, and workflows using evidence.

Technologies

• GitHub Copilot, Playwright, Model Context Protocol (MCP)
• LLM reasoning, structured prompts, context and memory, retrieval
• APIs, data tools, SQL, DAX, semantic models
• Python, Java, TypeScripts, browser developer protocols

Job ID: J53337

Location: Jersey City, NJ (onsite)

Duration: 10 Months + Extension

Domain Exposure: Retail

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later