Senior Data Engineer - AI Platform & Pipelines

Jones Lang LaSalle Incorporated; Westmont (IL); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

401(k) plan with matching company

Comprehensive Medical, Dental & Vision

Paid parental leave

Paid Time Off and Holidays

Daily Pay

Job summary

Jones Lang LaSalle Incorporated in Westmont, IL, is seeking a Staff Data Engineer to define the data architecture and build AI-ready, governance-backed data pipelines. You will own the Databricks-based semantic layer and APIs, collaborating with Finance, IT and business leaders to drive a modern data platform.

The role requires senior-level experience, cloud and security governance expertise, and a proven leadership track. On-site work with competitive compensation is offered.

Qualifications

• 10+ years of experience in data engineering or closely related roles.
• Hands-on Databricks experience with expert SQL and Python.
• Proven track record delivering a semantic layer in Databricks across multiple teams.
• Experience architecting batch and streaming pipelines and lakehouse models at enterprise scale.
• Experience designing REST APIs with OAuth-based authentication.
• Strong governance, security and cost-management in large enterprises.
• Cloud experience (Azure preferred) and CI/CD practices.
• Demonstrated technical leadership and mentoring abilities.
• Excellent communication to senior stakeholders.

Responsibilities

• Define and own the architecture and roadmap for information infrastructure and data management to achieve an agile, AI-ready target state.
• Design pipelines to ingest, cleanse and normalize diverse datasets, structuring unstructured data for analysis.
• Partner with senior leaders to shape requirements and translate problems into technical strategy.
• Maintain an enterprise-wide view of data flows across CRM, Finance, HR, and more; resolve gaps and risks.
• Deliver data and API solutions enabling non-technical staff to make data-driven decisions.
• Lead platform decisions, documenting trade-offs, costs and risks for stakeholders.
• Lead POCs and influence adoption of proven approaches across teams.
• Provide technical leadership, standards, and code reviews; elevate the wider data engineering team.
• Guide external vendors/partners, ensuring alignment to architecture and quality expectations.
• Own platform reliability, performance and cost efficiency for data products.

Skills

Databricks

SQL

Python

AI data engineering

Data governance

Leadership

Communication

Tools

Unity Catalog

Delta Lake

Spark SQL

PySpark

Workflows

REST APIs

OAuth

Azure

Job description

Jones Lang LaSalle Incorporated in Westmont, IL, is seeking a Staff Data Engineer to define the data architecture and build AI-ready, governance-backed data pipelines. You will own the Databricks-based semantic layer and APIs, collaborating with Finance, IT and business leaders to drive a modern data platform.

The role requires senior-level experience, cloud and security governance expertise, and a proven leadership track. On-site work with competitive compensation is offered.