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# data engineer

- **Company:** Jones Lang Lasalle ("jll")
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $147,000.0 - $181,000.0
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Test Suite, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Software as a Service, Cloud Computing, Cyber Security, Computer Programming, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Data Files, Data Governance, Data Integration, Data Security, Data Sharing, Database Design, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), Operational Databases, Performance Tuning, Scrum Methodology, Software Reliability Testing, Service Design, Software Engineering, SQL Databases, Systems Integration, Web Services, Enterprise Data Management, Azure Service Bus, Scripting, Azure Data Factory, Apache Spark, Build Management, Data Lakes, Pyspark, Data Lineage, Data Management, Data Delivery, Multiplatform, Data Pipelines, Cisco, Databricks
- **Published:** August 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-dallas-tx--11263c10-e510-4bac-b8aa-9f14c96ea71c

## About the Role

You are a seasoned data engineer who challenges the status quo rather than accepting ad-hoc, undocumented data access as good enough. You have led at least one large or complex data delivery before, and you're energized by taking a fuzzy, cross-team problem - like how dozens of teams should safely consume shared data - and turning it into a concrete, well-tested platform capability. You mentor the engineers around you as naturally as you write code, and you move fluidly between deep technical design work and the stakeholder conversations needed to get a new standard adopted., * 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, with 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 both engineering and business stakeholders.

Preferred Qualifications

 * 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., * Problem-Solving Skills: You break down ambiguous, cross-team data problems into concrete, deliverable solutions.
 * Ownership & Drive: You take a project from design through adoption without needing to be told what's next.
 * Collaboration: You work naturally across engineering and business stakeholders to align on shared standards.
 * Communication: You explain complex data architecture decisions clearly to both technical and non-technical audiences.
 * Adaptability & Speed: You adjust designs quickly as new consumption needs and platform constraints emerge.

This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship., Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Business-to-Business (B2B), Cisco Unity, Cloud Computing, Commercial Real Estate, Compensation Management, Computer Programming, Concrete, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Modeling, Data Quality, Data Sets, Database Design, Documentation, Engineering, Hubs, Identify Issues, Information/Data Security (InfoSec), Investment Management, Investment Services, Legal, Liquidity, Machine Tool, Mentoring, Microsoft Windows Azure, Multiplatform/Cross-Platform, Onboarding, Performance Tuning/Optimization, Problem Solving Skills, Professional Services, Project Design, Python Programming/Scripting Language, Real Estate, Reliability Testing, SQL (Structured Query Language), Scrum Project Management and Software Development, Software as a Service (SaaS), State Laws and Regulations, Technical Writing, Technical/Engineering Design, Test Automation, Test Suite, User
Interface/Experience (UI/UX), Validation Testing

## Description

As a Senior Data Engineer, you will have ownership over the data contract framework and Delta Sharing implementation that underpins data consumption across JLL. Your customers are the analytics, reporting, and product teams across every JLL business line who depend on this platform for governed access to trusted data, as well as the data engineers who will follow the standards you set. Your mission is to make data consumption safe, self-service, and consistent - replacing ad-hoc access and one-off pipelines with a governed, contract-first sharing model. This is an opportunity to shape a capability that becomes the standard way every domain at JLL shares and consumes data., Data Contract Design & Implementation: Lead the design and rollout of data contracts that define schema, quality, and ownership expectations between data producers and consumers across the platform.

Delta Sharing Architecture & Delivery: Own the end-to-end build of Delta Sharing capabilities, enabling secure, governed, cross-team and cross-organization data access without physical data duplication.

Data Governance & Quality Enforcement: Build automated validation and quality checks that enforce contract compliance at ingestion and consumption points, and drive adoption of these standards across engineering teams.

Data Modeling & Schema Design: Design shared, versioned data models and access patterns that balance domain-specific needs with platform-wide consistency.

Platform Integration: Integrate data contract and sharing capabilities into JLL's broader Enterprise Data Platform, working within existing ingestion, storage, and API frameworks.

API & Service Design: Design and build the services and interfaces that let downstream teams discover, request, and consume shared datasets independently.

Mentorship & Best Practices: Mentor junior and mid-level data engineers on data contract and sharing patterns, and act as the initial subject matter expert for the data consumption team.

Automated Testing & Reliability: Build complex automated test suites that validate contract enforcement, data lineage, and sharing reliability at scale.

Cross-Functional Collaboration: Partner with data producers, platform architects, and business stakeholders to translate consumption needs into contract and sharing requirements.

Documentation & Enablement: Produce clear technical documentation and onboarding materials so other teams can adopt data contracts and Delta Sharing with minimal support., For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.

Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.

Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.

California Residents only

If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.

Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


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