Senior Data Engineer

Jones Lang LaSalle Incorporated; Chicago (IL); Remote; USD 147,000 - 181,000; Full time

Job summary

Jones Lang LaSalle Incorporated is seeking a Senior Data Engineer to own data contracts and Delta Sharing within our Enterprise Data Platform. You will enable governed, self-service data access for analytics, reporting, and product teams, while driving data quality and platform-wide consistency.

You will lead the data contract framework, ensure secure sharing, and mentor engineers across teams to adopt these standards at scale.

Qualifications

• 5+ years of data engineering experience, including large-scale delivery.
• Intermediate-to-advanced Python and SQL; cloud data pipelines.
• Experience with data contracts, schema governance, or data quality enforcement.
• Experience with Delta Lake, Delta Sharing, or similar data-sharing tech.
• Strong PySpark experience and API service design experience.
• Mentoring junior engineers and acting as a technical point of contact.

Responsibilities

• Design and rollout of data contracts defining schema, quality, and ownership.
• End-to-end Delta Sharing development enabling governed cross-team data access.
• Automated data quality checks enforcing contract compliance.
• Design shared, versioned data models and access patterns for platform-wide consistency.
• Integrate data contracts and sharing into the Enterprise Data Platform.
• Mentor engineers and promote best practices within the data consumption team.
• Develop automated tests for contract enforcement, data lineage, and sharing reliability.
• Collaborate with data producers, platform architects, and business stakeholders.
• Create technical docs and onboarding materials to drive adoption.

Skills

Python

SQL

Data pipelines

Delta Lake

PySpark

API design

Mentoring

Azure

Data governance

Tools

Databricks

Unity Catalog

Azure Data Factory

Event Hubs

Job description

## Senior Data EngineerApply: Remote: Chicago, IL: Austin, TX: Dallas, TX: New York, NY: San Francisco, CA: Full time: Posted Today: REQ529539**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. ## **Who you are** You are a seasoned data engineer who challenges the status quo rather than accepting ad-hoc, undocumented data access as good enough. You have led at least one large or complex data delivery before, and you're energized by taking a fuzzy, cross-team problem — like how dozens of teams should safely consume shared data — and turning it into a concrete, well-tested platform capability. You mentor the engineers around you as naturally as you write code, and you move fluidly between deep technical design work and the stakeholder conversations needed to get a new standard adopted. ## **Qualifications and skills** **Required Qualifications*** 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. **Expected compensation for this position:** 147,000.00 – 181,000.00 USD per year *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 If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!