Internship

Data Engineering Summer 2025 Internship

Posted on 1/27/2025

Jones Lang LaSalle (JLL)

Jones Lang LaSalle (JLL)

Global real estate company

Compensation Overview

$4.81 - $6.15Hourly

No H1B Sponsorship

Chicago, IL, USA

On-site position in Chicago, IL; no relocation assistance or housing provided.

Category
Data Engineering
Data & Analytics
Required Skills
Python
Databricks
Data Analysis

You match the following Jones Lang LaSalle (JLL)'s candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Experience or enthusiast data developer using Python, PySpark, Spark Sql, ETL knowledge, SQL Server, ETL Concepts
  • Pursuing degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in Science, Business, or Social Science.
  • Thorough knowledge in Azure Cloud Platform, Cloud Storage, Databricks, Python, PySpark.
  • Able to think logically, organize work flows efficiently, and solve problems independently.
  • Capability to self-learn new software applications and programming languages.
  • Effective written and verbal communication skills, including technical writing.
  • Excellent technical, analytical and organizational skills.
Responsibilities
  • Plan, design, develop, and monitor complex data integration activities for project delivery and daily operations.
  • Use PySpark and Spark SQL to extract, manipulate, and transform data from various sources for analysis and modeling.
  • Build and optimize ETL workflows using Azure Databricks and PySpark, focusing on efficiency, validation, error handling, and performance.
  • Integrate data from multiple sources, creating unified views for analysis and reporting.
  • Perform various levels of testing, including unit, integration, regression, and assist with user acceptance testing.
  • Translate business requirements into technical solutions and consult on documentation for accurate data interpretation.
  • Identify automation opportunities and optimize data engineering processes using PySpark, Azure Databricks, and Azure Functions.
  • Create and maintain technical documentation to ensure knowledge sharing and solution maintainability.
  • Implement data security best practices, ensuring data privacy, confidentiality, and regulatory compliance.
Desired Qualifications
  • Experience or enthusiast data developer using Python, PySpark, Spark Sql, ETL knowledge, SQL Server, ETL Concepts
  • Pursuing degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in Science, Business, or Social Science.
  • Thorough knowledge in Azure Cloud Platform, Cloud Storage, Databricks, Python, PySpark.
  • Able to think logically, organize work flows efficiently, and solve problems independently.
  • Capability to self-learn new software applications and programming languages.
  • Effective written and verbal communication skills, including technical writing.
  • Excellent technical, analytical and organizational skills.
Jones Lang LaSalle (JLL)

Jones Lang LaSalle (JLL)

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