Data Engineer 2

JLL empowers you to shape a brighter way.  

Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people  and empowering them to  thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

About the Role:
JLL is seeking a Data Engineer to join our Central Data Platform Team, supporting enterprise-wide data initiatives and foundational platform solutions. You will play a key role in designing, building, and maintaining scalable data pipelines and indexing infrastructure, with a strong preference for Databricks experience. You will collaborate with engineering peers to ensure the reliability, performance, and operational excellence of JLL’s enterprise data systems, leveraging cutting-edge cloud and AI technologies.

This position offers substantial ownership of technical projects and opportunities to impact code uniformity, performance optimization, and enterprise data best practices. You’ll work with diverse data sources, contribute to both internal and stakeholder-facing solutions, and participate in the transformation of JLL’s data ecosystem at a global scale.

Key Responsibilities:

• Design, implement, and optimize scalable ETL jobs using PySpark within platforms such as Databricks.

• Build and maintain high-performance data ingestion, transformation, and indexing pipelines that support reliable search and retrieval across both structured and unstructured data sources (e.g., documents, PDFs) within enterprise data lakes.

• Architect and support medallion architecture patterns, ensuring data quality, lineage, and governance across all central data platform layers.

• Develop and maintain APIs for data integration, supporting business and analytical needs.

• Leverage DocumentDB, cache DBs, and indexing solutions for efficient data storage and access.

• Collaborate with infrastructure, software, and AI teams to support the development of foundational data systems, integrating cloud (Azure, AWS, GCP), networking components, and security best practices.

• Manage code repositories using GitHub and automate deployment processes with GitHub Actions and CI/CD pipelines.

• Explore, experiment with, and apply AI tools to enhance data platform capabilities and intelligent search outcomes.

• Contribute to documentation, knowledge sharing, and adoption of best practices in a collaborative, agile engineering environment.

• Optimize cluster operations and Spark jobs for performance and cost efficiency.

Required Technical Skills:

• Minimum 4 years of professional experience in data engineering or a related field.

• Proficient in PySpark and Databricks for enterprise-scale ETL, data processing, and pipeline optimization.

• Hands-on experience with DocumentDB, cache databases, advanced indexing, and database concepts.

• Exposure to cloud platforms (Azure, AWS, GCP) and strong understanding of cloud architecture and networking components.

• Familiarity with data lake architectures, medallion patterns, and data governance frameworks.

• Experience with API development and event-driven data pipelines.

• Competency using GitHub, GitHub Actions, and CI/CD practices in data engineering environments.

• Experience or interest in applying AI/ML and AI tooling to data workflows.

Required Soft Skills:

• Effectively builds rapport with diverse stakeholders and adapts communication to needs.

• Strong ability to interpret information and resolve moderately defined and advanced problems within guidelines.

• Reviews data to identify and resolve missing, inconsistent, or incomplete information.

• Makes sound decisions within established guidelines, escalating complex issues as needed.

• May provide guidance or direction to lower-level staff, contributing to their development.

• Supports and contributes to a collaborative team, monitoring timeline and accuracy of operations.

• Demonstrates flexibility and accountability while managing multiple priorities in fast-paced environments.

• Initiates and maintains professional relationships to support team and business objectives.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

• Minimum 3 years of hands-on experience in data engineering, including cloud and big data platforms.

Estimated compensation for this position:

This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.

Location:

If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements.  We’re interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:

• 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

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

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 [email protected]. 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.

Accepting applications on an ongoing basis until candidate identified.