Senior Data Engineer
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Job Description
Senior Data Engineer building data contracts and Delta Sharing for JLL’s enterprise real estate data platform. Enabling governed, self-service access for analytics, reporting, and product teams.
Responsibilities:
- Lead the design and rollout of data contracts defining schema, quality, and ownership expectations
- Own the end-to-end build of Delta Sharing capabilities for secure, governed data access without physical duplication
- Build automated validation and quality checks enforcing contract compliance at ingestion and consumption points
- Drive adoption of data contract and sharing standards across engineering teams
- Design shared, versioned data models and access patterns
- Integrate capabilities into JLL's Enterprise Data Platform and existing ingestion, storage, and API frameworks
- Design and build services and interfaces for dataset discovery, requests, and self-service consumption
- Mentor junior and mid-level data engineers
- Act as the initial subject matter expert for the data consumption team
- Build automated test suites validating contract enforcement, data lineage, and sharing reliability at scale
- Partner with data producers, platform architects, and business stakeholders
- Produce technical documentation and onboarding materials
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
- 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 engineering and business stakeholders
- Candidates must be authorized to work in the United States without sponsorship
- Preferred: Experience with Databricks, Unity Catalog, or similar data catalog and governance tooling
- Preferred: Familiarity with data mesh principles and federated data ownership models
- Preferred: Experience with Azure Data Factory, Event Hubs, or other Azure-native data integration services
- Preferred: Background in commercial real estate, enterprise data platforms, or B2B SaaS data products
- Preferred: Experience contributing to CI/CD pipelines for data engineering workflows
Benefits:
- 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
- Supportive culture and comprehensive benefits package prioritizing mental, physical and emotional health
- Reasonable accommodations for individuals with disabilities
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