CBRE Investment Management Tech Stack

Real assets investment platform with data-driven underwriting and portfolio analytics

Investment Management New York, New York 501–1,000 employees Public Company

CBRE Investment Management operates a real assets investment business spanning acquisitions, underwriting, and portfolio management. The tech stack—Yardi, Snowflake, dbt, Spark, Airflow—reflects a data-engineering-forward approach to asset valuation and fund performance tracking. Active hiring in data (2 roles) and a Data Engineering Lead opening suggest infrastructure scaling to support ML pipelines and portfolio modeling accuracy, areas explicitly flagged as internal priorities.

Tech Stack 15 technologies

Core StackPython Snowflake PostgreSQL SQL Server dbt Apache Spark Apache Airflow AWS Yardi Excel SQL PowerPoint Word Snaplogic Azure

What CBRE Investment Management Is Building

◆Challenges

Enhanced return fund performance
Portfolio modeling accuracy
Increase efficiency
Scaling data engineering team
Ensuring secure data systems
Compliance with regulatory requirements

▲Active Projects

Underwriting stabilized, value-add, lease-up, and development opportunities
Building and maintaining asset-level financial models
Coordinating transaction execution from loi through close
Portfolio modeling for existing and future funds
Quarterly portfolio valuations and reporting
Investment strategy and execution for acquisitions and dispositions
Scalable data pipelines for ai/ml projects
Data infrastructure and pipelines

Hiring Activity

Minimal5 roles · 0 in 30d

Department

Data

Finance

Investment

Product

Seniority

Senior

Director

Lead

Notable leadership hires: Product Director, Data Engineering Lead

Company intelligence

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About CBRE Investment Management

CBRE Investment Management invests across real assets categories, handling underwriting (stabilized, value-add, lease-up, development), transaction execution, and portfolio management for existing and future funds. The operational footprint spans asset-level financial modeling, quarterly valuations, and quarterly reporting to limited partners. Core workflow tools include Yardi for asset management, Excel and Python for analytics, and a modern data stack (Snowflake, PostgreSQL, dbt, Spark, Airflow) powering portfolio models and transaction support. The company is based in New York with 501–1,000 employees.

HeadquartersNew York, New York

Company Size501–1,000 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does CBRE Investment Management use?

Yardi for asset management; Snowflake and PostgreSQL for data warehousing; dbt, Spark, and Airflow for data pipelines; Python and SQL for analytics; AWS and Azure for cloud infrastructure.

Is CBRE Investment Management hiring data engineers?

Yes. Currently hiring for Data Engineering Lead and other data roles (2 total data positions open). Seniority skews toward senior and director levels.

What is CBRE Investment Management working on?

Building asset-level financial models, portfolio valuation and reporting, transaction execution (LOI through close), and scalable data pipelines for AI/ML projects. Portfolio modeling accuracy and data engineering team scaling are stated priorities.