Senior Data Engineer

JLL•Westmont, CO

11d•Remote

About The Position

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world 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. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. About JLL and Data Platform JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people, and our communities. JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technological innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and happiness of those that occupy them. The Data Platform team builds and operates JLL's Enterprise Data Platform (EDP) — the shared ingestion frameworks, APIs, and developer-facing data services that every domain across JLL depends on. Within Data Platform, the Data Consumption team owns how data leaves the platform safely and reliably: the contracts, sharing mechanisms, and access patterns that let downstream teams consume trusted data without re-building pipelines of their own.

Requirements

5+ years of data engineering experience, including at least one large-scale or complex implementation delivered end-to-end.
Intermediate-to-advanced Python and SQL, with hands-on experience designing and optimizing data pipelines in a cloud environment (Azure preferred).
Direct experience with data contracts, schema governance, or data quality enforcement in a production data platform.
Experience with Delta Lake, Delta Sharing, or comparable data-sharing / lakehouse technologies.
Strong PySpark experience, including performance optimization and troubleshooting via Spark UI.
Experience designing and building API services for data access or integration.
Demonstrated experience mentoring junior engineers and acting as a technical point of contact within a team.
Comfort working across scrum teams and collaborating with both engineering and business stakeholders.

Nice To Haves

Experience with Databricks, Unity Catalog, or similar data catalog and governance tooling.
Familiarity with data mesh principles and federated data ownership models.
Experience with Azure Data Factory, Event Hubs, or other Azure-native data integration services.
Background in commercial real estate, enterprise data platforms, or B2B SaaS data products.
Experience contributing to CI/CD pipelines for data engineering workflows.

Responsibilities

Lead the design and rollout of data contracts that define schema, quality, and ownership expectations between data producers and consumers across the platform.
Own the end-to-end build of Delta Sharing capabilities, enabling secure, governed, cross-team and cross-organization data access without physical data duplication.
Build automated validation and quality checks that enforce contract compliance at ingestion and consumption points, and drive adoption of these standards across engineering teams.
Design shared, versioned data models and access patterns that balance domain-specific needs with platform-wide consistency.
Integrate data contract and sharing capabilities into JLL's broader Enterprise Data Platform, working within existing ingestion, storage, and API frameworks.
Design and build the services and interfaces that let downstream teams discover, request, and consume shared datasets independently.
Mentor junior and mid-level data engineers on data contract and sharing patterns, and act as the initial subject matter expert for the data consumption team.
Build complex automated test suites that validate contract enforcement, data lineage, and sharing reliability at scale.
Partner with data producers, platform architects, and business stakeholders to translate consumption needs into contract and sharing requirements.
Produce clear technical documentation and onboarding materials so other teams can adopt data contracts and Delta Sharing with minimal support.