Senior Data Engineer

JLL (Jones Lang LaSalle)

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Chicago, ILAustin, TXDallas, TXNew York, NYSan Francisco, CASeattle, WA
Employment: Full-time
Posted: 27 days ago
Freshness: Confirmed live today
Closes: Nov 30, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $163k

$107k $209k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$199,175.

Based on 240 similar postings.

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About JLL (Jones Lang LaSalle)

JLL (Jones Lang LaSalle) is a global professional services firm specializing in real estate and investment management, providing services to buyers, sellers, tenants, landlords, investors, and developers. Industry: Commercial Real Estate Services

JLL (Jones Lang LaSalle) currently has 37 open roles on FindRole.

Listed pay typically runs $187,000–$225,000 across 19 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer joins the Data Consumption team within the Data Platform group to own the design and delivery of data contracts and Delta Sharing across the Enterprise Data Platform. This role involves building a governed, contract-first sharing model to replace ad-hoc access, ensuring downstream teams can safely consume trusted data. Key responsibilities include designing data contracts, implementing Delta Sharing architecture, enforcing data quality, and building API services for independent data discovery. The successful candidate will utilize Python, SQL, PySpark, and Delta Lake technologies, with a preference for experience in Azure, Databricks, and Unity Catalog. This position solves the complex problem of providing secure, consistent, and self-service data access across diverse business lines by establishing foundational standards for schema governance and automated validation.

What does a Data Engineer earn in New York?

Median $211200 from 33 postings across 16 companies.

See salary data

Skills

Python SQL PySpark Delta Lake Delta Sharing Azure Databricks Unity Catalog CI/CD Data Contracts Data Modeling Schema Governance Data Quality Event Hubs Azure Data Factory Data Mesh Data Lineage

What you'll do

Lead the design and rollout of data contracts to define 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 to enforce contract compliance at ingestion and consumption.
Design shared, versioned data models and access patterns to ensure platform-wide consistency.
Integrate data contract and sharing capabilities into the broader Enterprise Data Platform.
Design and build API services that allow downstream teams to discover and consume shared datasets.
Build automated test suites to validate contract enforcement, data lineage, and sharing reliability.
Mentor junior and mid-level data engineers on data contract and sharing patterns.

What we're looking for

Must have 5+ years of data engineering experience, including at least one large-scale or complex end-to-end implementation.
Must have intermediate-to-advanced Python and SQL skills with experience optimizing data pipelines in a cloud environment (Azure preferred).
Must have direct experience with data contracts, schema governance, or data quality enforcement in a production data platform.
Must have experience with Delta Lake, Delta Sharing, or comparable data-sharing/lakehouse technologies.
Must have strong PySpark experience, including performance optimization and troubleshooting via Spark UI.
Must have experience designing and building API services for data access or integration.
Must have demonstrated experience mentoring junior engineers and acting as a technical point of contact.

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