Senior Data Engineer
Jones Lang LaSalle Incorporated4 months ago
Base Salary
$140k - $180k/yr
Responsibilities
- Design solution architectures, technical blueprints, architecture decisions, and delivery approaches for complex data and AI problems.
- Create architecture diagrams, data flow maps, API contracts, solution briefs, and other technical documentation.
- Deliver production-ready prototypes for complex data and AI problems within days or weeks.
- Build and deploy AI agents, multi-agent systems, reusable agent skills, and agent orchestration layers.
- Implement and extend MCP servers and clients to connect agents with enterprise tools, APIs, and data sources.
- Develop evaluation harnesses, guardrails, monitoring pipelines, and observability practices for reliable and safe agents.
- Build scalable data pipelines, APIs, backend services, AI-powered features, and production data workflows.
- Own data modeling, transformation, and quality across delivered solutions.
- Embed with product, program, and engineering teams to define problems, deliver solutions, and incorporate user feedback.
- Communicate technical concepts to business stakeholders and mentor junior engineers on agentic development, prompt design, and rapid delivery.
Requirements
- 4+ years of professional software or data engineering experience, including solution design and architecture contributions.
- Experience delivering end-to-end data and AI systems from requirements through deployment with clear documentation and stakeholder communication.
- Hands-on experience building AI agents with agent skills, tool use, memory, and multi-step reasoning.
- Working knowledge of MCP, including building or consuming MCP servers.
- Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
- Strong data engineering experience with pipelines, ETL/ELT, data modeling, SQL, and NoSQL databases.
- Proficiency in Python.
- Experience with AWS, Azure, or GCP and modern data-stack tooling.
- Preferred experience with RAG architectures, vector databases, semantic search, prompt engineering, fine-tuning, and LLM evaluation.
- Preferred experience with agent observability and tracing tools, AWS AgentCore, data orchestration tools, containerization, and CI/CD practices.
- Preferred background in real estate, financial services, or other data-intensive enterprise domains.
- Preferred experience facilitating technical discovery workshops, design sprints, or architecture reviews, or contributing to open-source agentic or data projects.
Benefits
- 401(k) plan with matching company contributions.
- Comprehensive medical, dental, and vision care.
- Paid parental leave at 100% of salary.
- Paid time off and company holidays.
- Early access to earned wages through Daily Pay.
- On-site role in Chicago, IL or Westmont, IL.
- Visa sponsorship is not provided; candidates must be authorized to work in the United States without sponsorship.
Tech Stack
Categories
Forward Deployed
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).