Data Engineer

Robotics Technologies is hiring a Data Engineer to support data engineering and intelligence workflows in a retail environment from Jersey City, NJ on an onsite basis. This role focuses on agent-driven engineering: designing AI agents, integrating them securely with enterprise systems, and establishing evaluation, observability, and governance controls that keep data and reporting processes reliable.

You will work at the intersection of production software practices and agentic AI, using executable evidence to validate outcomes and improve reliability over time. The position includes a 10-month engagement with the possibility of extension.

Key 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 verify outcomes using executable evidence.
• Design, build, test, and operate AI agents that execute multi-step workflows using LLM reasoning, structured prompts, context and memory, retrieval, APIs, data tools, and human approval gates to enhance data engineering, reporting, testing, and operational processes.
• Develop tool-enabled agents and Model Context Protocol (MCP) integrations that securely connect AI assistants to enterprise APIs and platforms, including BI and reporting services, data products, work-management systems, and operational knowledge sources.
• Implement browser and UI automation agents for authenticated enterprise workflows, including evidence capture, regression testing, test generation and healing, and operational workflow automation 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 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.
• Develop user personas and business personas aligned with data requirements and business needs.
• Partner with business users to translate functional specifications into technical designs for implementation and deployment.
• Collaborate with cross-functional teammates to prototype, produce design artifacts, develop components, support SIT and UAT testing, and perform triage and bug fixing.
• Provide problem-solving expertise and complex data analysis to support business intelligence integration designs.
• Ensure high-quality, optimum performance of data systems to meet business expectations.

Required Qualifications

• 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, with the ability to design agent tools, API clients, MCP servers, command-line workflows, typed data contracts, and automated tests.
• 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 and 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