Data Engineer

Robotics Technologies is hiring a Data Engineer in Jersey City, NJ for an onsite role supporting retail-focused data and analytics initiatives. The work centers on building agentic AI-driven workflows that connect to enterprise systems, while also shaping data mesh and data fabric architectures for decentralized data management and access.

This position blends production engineering with AI agent development, including secure integrations, governance and observability controls, and the delivery of SQL and BI assets through automated, tool-enabled agents and human review gates. The role is listed for 10 Months + Extension and includes multiple employment type options under W-2, 1099, and C2C.

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, and review proposed changes 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 to improve data engineering, reporting, testing, and operational processes.
• Develop tool-enabled agents and Model Context Protocol (MCP) integrations to securely connect AI assistants to enterprise APIs and platforms, including BI/reporting services, data products, work-management systems, and operational knowledge sources.
• Implement browser and UI automation agents for authenticated enterprise workflows using Playwright and browser developer protocols, including evidence capture, regression testing, test generation and healing, and operational workflow support.
• Define agent evaluation, observability, and safety controls such as 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 to enable decentralized data management and access.
• Build data and BI development agents that 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.
• Collaborate with business users to translate functional specifications into technical designs for implementation and deployment.
• Work with cross-functional team members to develop prototypes, produce design artifacts, build components, support SIT and UAT testing, and triage and fix defects.
• Apply problem-solving expertise and complex data analysis 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 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.
• 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
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Employment Type: W-2, 1099, C2C
Client: To Be Discussed Later