Data Engineer

JLL supports the Whole You, personally and professionally.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work.  Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

Responsibilities:

• Design, develop, and maintain scalable and efficient cloud-based data infrastructure using SQL and PySpark.
• Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion architecture.
• Design and implement efficient data pipeline framework, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms.
• Troubleshoot and resolve issues related to data processing, data quality, and data pipeline performance.
• Stay updated with emerging technologies, tools, and best practices in cloud data engineering, SQL, and PySpark.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs.
• Document data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers.

Sounds like you? To apply, you need to be:

Requirements:

• Bachelor's degree in Computer Science, Data Engineering, or a related field. (A master's degree is a plus.)
• Minimum of 2 years of experience in data engineering or full-stack development, with a focus on cloud-based environments.
• Strong expertise in SQL and PySpark, with a proven track record of working on large-scale data projects.
• Experience with cloud platforms (any 1) such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Proficiency in designing and implementing data pipelines, ETL processes, and workflow automation.
• Familiarity with data warehousing concepts, dimensional modelling, and data governance best practices.
• Strong problem-solving skills and ability to analyze complex data processing issues.
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Attention to detail and a commitment to delivering high-quality, reliable data solutions.
• Ability to adapt to evolving technologies and work effectively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Experience with managing big data technologies (e.g., Spark, Python, Serverless Stack, API, etc.).
• Familiarity with cloud-based data warehousing platforms (e.g., AWS Redshift, Google BigQuery, Snowflake, etc.).
• Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating meaningful data reports and dashboards is a plus.

Location:

On-site –Chicago, IL

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

• Flexible and Remote Work Arrangements may be available

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