Senior Data Engineer

JLL (Jones Lang LaSalle)

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Austin, TXChicago, ILDallas, TXNew York, NYSan Francisco, CASeattle, WA
Salary: $147,000–$181,000 / yr
Posted: 5 days ago
Freshness: Confirmed live yesterday
Closes: Oct 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k

This role $164k

$125k most similar roles pay here $220k

This role pays less than 53% of similar roles. Most pay $134,312–$211,200 — the shaded band above. At the midpoint, this role pays about $164k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

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 62 open roles on FindRole.

Listed pay typically runs $144,000–$180,000 across 30 roles with salary data.

Most-posted roles

View all roles at JLL (Jones Lang LaSalle)

At a glance

TL;DR · Senior Data Engineer

Role Posting Log in to save

Senior Data Engineer As a Senior Data Engineer on the Data Consumption team, you will design and deliver data contracts and Delta Sharing across the Enterprise Data Platform to provide downstream teams with governed, self-service access to trusted data. You will be responsible for building automated validation checks, designing versioned data models, and developing API services that allow various business lines to consume shared datasets independently. This role requires expertise in Python, SQL, PySpark, and Delta Lake technologies within a cloud environment, preferably Azure. You will also mentor junior engineers and collaborate with stakeholders to replace ad-hoc access with a contract-first sharing model. The work focuses on solving the technical challenge of ensuring safe, consistent data distribution across a complex organization by establishing standardized infrastructure for data discovery and consumption.

What does a Data Engineer earn in New York?

Median $211200 from 31 postings across 10 companies.

See salary data

Skills

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

What you'll do

Lead the design and rollout of data contracts to define schema, quality, and ownership expectations across the platform.
Build and manage Delta Sharing capabilities to enable secure, governed access to data without physical duplication.
Develop automated validation and quality checks to enforce contract compliance at ingestion and consumption points.
Design shared, versioned data models and access patterns that balance specific needs with platform consistency.
Create APIs and services that allow downstream teams to discover and consume shared datasets independently.
Mentor junior and mid-level engineers on data contract standards and sharing patterns.
Build complex automated test suites to validate data lineage and sharing reliability at scale.
Produce technical documentation and onboarding materials to enable other teams to adopt the platform's features.

What we're looking for

Must have 5+ years of data engineering experience, including at least one large or complex end-to-end implementation.
Must possess intermediate-to-advanced Python and SQL skills for designing and optimizing cloud-based data pipelines (Azure preferred).
Must have direct experience with data contracts, schema governance, or data quality enforcement in a production platform.
Must have experience with Delta Lake, Delta Sharing, or comparable 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.
Experience with Databricks, Unity Catalog, or similar tools is preferred (preferred).