Senior Data Engineer
Jones Lang LaSalle Incorporated3 months ago
Remote, United States +6 moreSenior
Responsibilities
- Lead the design and rollout of production data contracts defining schema, quality, and ownership expectations.
- Own the architecture and end-to-end delivery of Delta Sharing capabilities for secure, governed data access without duplication.
- Build automated validation, data quality enforcement, testing, lineage checks, and reliability controls.
- Design shared versioned data models, schemas, access patterns, APIs, and services for self-service data consumption.
- Integrate data contract and sharing capabilities with JLL’s Enterprise Data Platform, ingestion, storage, and API frameworks.
- Mentor junior and mid-level data engineers and serve as the initial subject matter expert for data consumption.
- Partner with data producers, platform architects, engineering teams, and business stakeholders to define requirements and drive adoption.
- Create technical documentation and onboarding materials for data contracts and Delta Sharing.
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 skills with hands-on cloud data pipeline design and optimization experience; Azure is preferred.
- Production experience with data contracts, schema governance, or data quality enforcement.
- Experience with Delta Lake, Delta Sharing, or comparable data-sharing or lakehouse technologies.
- Strong PySpark experience, including performance optimization and troubleshooting with Spark UI.
- Experience designing and building API services for data access or integration.
- Demonstrated experience mentoring junior engineers and serving as a technical point of contact.
- Ability to collaborate across scrum teams and with engineering and business stakeholders.
- Preferred experience with Databricks, Unity Catalog, data mesh, federated data ownership, Azure Data Factory, Event Hubs, or similar Azure-native integration services.
- Background in commercial real estate, enterprise data platforms, or B2B SaaS data products is preferred.
- Experience contributing to CI/CD pipelines for data engineering workflows is preferred.
Benefits
- Remote work is available from Austin, Chicago, Dallas, New York, San Francisco, or Seattle.
- Benefits may include a 401(k) plan with matching contributions, comprehensive medical, dental and vision care, paid parental leave at 100% of salary, paid time off, company holidays, and early access to earned wages through Daily Pay.
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).