Data Engineer 2 - Full Stack

JLL empowers you to shape a brighter way by combining world-class services, advisory, and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers, and to find a place where they belong. We are seeking a talented Data Engineer with full-stack capabilities to join our team and contribute to designing, building, and scaling a core data platform that powers data-driven insights across JLL.

Requirements

• 2–4 years of experience in data engineering and Big Data development, with exposure to scalable, fault-tolerant architectures.
• 1–2 years of hands-on experience with cloud platforms such as Azure or AWS (e.g., Databricks, Azure Data Factory, Synapse).
• Solid proficiency in a server-side programming language such as Python, Java, or Scala, with experience in PySpark/Spark for distributed data processing.
• Backend development experience, including Java and Spring Boot.
• Understanding of data modeling principles and how data structures affect retrieval and analytics.
• Basic understanding of machine learning concepts and model deployment.
• Experience working with SQL (e.g., Azure SQL), NoSQL (e.g., Cosmos DB, MongoDB), and emerging AI-centric databases such as vector or knowledge/graph databases.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan