Staff Data Engineer
Jones Lang LaSalle Incorporated2 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- Lead solution design and architecture for complex, cross-functional data and AI problems from discovery through technical blueprint.
- Define architecture decisions, trade-offs, delivery approaches, and technical documentation for technical and non-technical stakeholders.
- Design and deliver production-ready prototypes for complex data and AI problems within days or weeks.
- Build and deploy AI agents and multi-agent systems, including reusable agent skills, tool use, memory, and multi-step workflows.
- Implement and extend MCP servers and clients to connect agents with enterprise tools, APIs, and data sources.
- Build agent orchestration layers, evaluation harnesses, guardrails, and monitoring pipelines for reliable and safe production operation.
- Build scalable data pipelines, APIs, backend services, AI-powered features, and workflow automation.
- Integrate LLMs, RAG systems, and ML models into production data workflows while owning data modeling, transformation, and quality.
- Embed with product, program, and engineering teams to define problems, deliver solutions, influence technical direction, and communicate with stakeholders.
- Mentor junior engineers on agentic development, prompt design, and rapid delivery practices.
Requirements
- 6+ years of professional software or data engineering experience, including solution design and architecture ownership.
- Demonstrated ability to architect end-to-end data and AI systems from requirements through deployment with clear documentation and stakeholder communication.
- Hands-on experience building AI agents, including agent skills, tool use, memory, and multi-step reasoning.
- Working knowledge of MCP, including building or consuming MCP servers to connect agents with external systems.
- Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
- Strong hands-on 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 such as Pinecone, Weaviate, or pgvector, semantic search, indexing systems, and data processing pipelines.
- Preferred familiarity with prompt engineering, fine-tuning, LLM evaluation, agent observability and tracing tools, and AWS AgentCore.
- Preferred experience with Airflow, Prefect, dbt, Docker, Kubernetes, or GitHub Actions.
- Preferred background in real estate, financial services, or other data-intensive enterprise domains, plus experience facilitating discovery workshops, design sprints, or architecture reviews.
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.
- Applications accepted on an ongoing basis until a candidate is identified.
Tech Stack
Categories
AI ApplicationsData Engineering
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).