Senior Data Engineer

Job not on LinkedIn

🕒 August 25

🏄 California, Illinois, +3 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $147k - $181k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 54%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jones Lang LaSalle Americas, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

🤝 B2B

💼 Consulting

Real Estate • B2B • Consulting

Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.

📋 Description

• 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 • Build automated validation and quality checks enforcing contract compliance • Drive adoption of data governance and quality standards across engineering teams • Design shared, versioned data models and access patterns • Integrate data contract and sharing capabilities into JLL's Enterprise Data Platform • Design and build services and interfaces for downstream dataset discovery, requests, and consumption • Mentor junior and mid-level data engineers • Build automated test suites validating contract enforcement, data lineage, and sharing reliability • 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 • 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 • Candidates must be authorized to work in the United States without sponsorship

🏖️ 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 • Remote work arrangement