Senior Data Engineer

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. What this job involves As a Senior Data Engineer on the Data Consumption team, you will own the design and delivery of data contracts and Delta Sharing across JLL's Enterprise Data Platform, giving downstream teams governed, self-service access to trusted data. This role is for an experienced engineer who has delivered at least one large or complex data platform initiative and is ready to lead a foundational capability that other data engineers and business teams will build on. What you'll get to do As a Senior Data Engineer, you will have ownership over the data contract framework and Delta Sharing implementation that underpins data consumption across JLL. Your customers are the analytics, reporting, and product teams across every JLL business line who depend on this platform for governed access to trusted data, as well as the data engineers who will follow the standards you set. Your mission is to make data consumption safe, self-service, and consistent — replacing ad-hoc access and one-off pipelines with a governed, contract-first sharing model. This is an opportunity to shape a capability that becomes the standard way every domain at JLL shares and consumes data. Key responsibilities Data Contract Design & Implementation: Lead the design and rollout of data contracts that define schema, quality, and ownership expectations between data producers and consumers across the platform. Delta Sharing Architecture & Delivery: Own the end-to-end build of Delta Sharing capabilities, enabling secure, governed, cross-team and cross-organization data access without physical data duplication. Data Governance & Quality Enforcement: Build automated validation and quality checks that enforce contract compliance at ingestion and consumption points, and drive adoption of these standards across engineering teams. Data Modeling & Schema Design: Design shared, versioned data models and access patterns that balance domain-specific needs with platform-wide consistency. Platform Integration: Integrate data contract and sharing capabilities into JLL's broader Enterprise Data Platform, working within existing ingestion, storage, and API frameworks. API & Service Design: Design and build the services and interfaces that let downstream teams discover, request, and consume shared datasets independently. Mentorship & Best Practices: 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. Automated Testing & Reliability: Build complex automated test suites that validate contract enforcement, data lineage, and sharing reliability at scale. Cross-Functional Collaboration: Partner with data producers, platform architects, and business stakeholders to translate consumption needs into contract and sharing requirements. Documentation & Enablement: Produce clear technical documentation and onboarding materials so other teams can adopt data contracts and Delta Sharing with minimal support. Qualifications and skills Required 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. Preferred Qualifications 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. Key attributes Problem-Solving Skills: You break down ambiguous, cross-team data problems into concrete, deliverable solutions. Ownership & Drive: You take a project from design through adoption without needing to be told what's next. Collaboration: You work naturally across engineering and business stakeholders to align on shared standards. Communication: You explain complex data architecture decisions clearly to both technical and non-technical audiences. Adaptability & Speed: You adjust designs quickly as new consumption needs and platform constraints emerge. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 147,000.00 – 181,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location Remote – Austin, TX Chicago, IL Dallas, TX New York, NY San Francisco, CA Seattle, WA Personal benefits that support personal well-being and growth Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at View email address on click.appcast.io. This email is only to request an accommodation. We help our people thrive, grow meaningful careers and find a place where they belong. Together, we strive to be exceptional and shape a better world. For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of JonesLangLaSalle Incorporated. For further information, visit jll.com. #J-18808-Ljbffr Jones Lang LaSalle Incorporated