Data Engineer – Industrial Real Estate AI Platform

Reports to: CTO

Location: Speed Bay Warehouse Solutions – Denver, CO (Cherry Creek)

Schedule: Full-time, Monday–Friday, In-Office

Overview

Speed Bay Warehouse Solutions is a vertically integrated real estate investment and management platform focused on acquiring and operating shallow bay, multi-tenant light industrial assets in prime infill markets throughout the U.S. Sponsored by the founders of Black Creek Group—whose 30-year track record includes over $25 billion in real estate transactions—the firm is led by a seasoned executive team with extensive real estate industry experience and deep expertise investing in and managing multi-tenant light industrial properties. Speed Bay is building a national portfolio designed to deliver durable, long-term value through disciplined acquisitions, operational excellence, and technology-enabled performance.

This is an exciting opportunity to join an emerging commercial real estate operating platform focused on acquiring and managing multi-tenant light industrial shallow bay properties in key metropolitan areas across the US.

About the Role

Be part of a company redefining how small bay industrial assets are analyzed and managed. As an experienced Data Engineer, you will directly influence the strategy and technical direction of a growing AI-native real estate platform. This is a unique opportunity to design, build, and maintain a modern, scalable data infrastructure from the ground up, enabling intelligent automation, advanced analytics, and real-time insights across our portfolio.

You will play a key role in developing our next-generation data platform, leveraging tools such as Databricks, AI and machine learning pipelines, and LLM-powered applications. We operate in a collaborative, highly entrepreneurial culture that offers significant visibility with executive leadership and the opportunity to make a lasting impact on both technology and business outcomes.

Key Responsibilities

Design and implement scalable data architecture using Databricks on cloud infrastructure (Azure or AWS).
Build and maintain ETL pipelines integrating data from Yardi, Argus, CRM, and external market data sources.
Partner with data scientists and analysts to operationalize machine learning and LLM-based workflows.
Develop robust data models supporting financial, operational, and asset performance reporting.
Implement strong data governance, quality, and lineage practices across all data assets.
Drive efforts to modernize our data stack, enabling real-time data access and self-service analytics.
Collaborate cross-functionally with property operations, finance, and investment teams to unlock new AI-driven capabilities.

Qualifications

5–8+ years of experience as a data engineer in data-intensive environments.
Proven experience with Databricks and building ETL/ELT data pipelines in a production setting.
Expertise in Python, SQL, and PySpark; familiarity with MLflow or Delta Lake preferred.
Strong understanding of data lakehouse architectures and cloud-native data services (e.g., AWS, Azure).
Experience integrating APIs and real estate data platforms (e.g., Yardi, Argus).
Comfortable collaborating with AI/ML engineers to deploy models into production workflows.
Ability to balance innovation with execution, scaling prototype pipelines into enterprise-grade solutions.

Preferred Qualifications

Experience building data platforms supporting LLMs or generative AI use cases.
Familiarity with modern data orchestration tools (Airflow, Prefect, or similar).
Knowledge of APIs, data standards, and metadata management frameworks.
Background in real estate, proptech, or asset management analytics preferred.

What We Offer

Competitive salary + bonus structure
Benefits package including Medical, Dental, Vision and Life Insurance
401k Plan
Paid office parking
Growth opportunities within a thriving real estate company
A collaborative and supportive work environment
The opportunity to directly impact executive success and office culture

Note: This job description is not intended to be all inclusive or exclusive. At any time, employees may perform other related duties as required to meet the ongoing needs of the organization and participate in additional trainings.

The annual full-time base salary range for this role is:

$140,000 - $180,000

Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally, certain positions may be eligible to receive a discretionary bonus as determined by bonus program guidelines, position eligibility and Speed Bay Senior Management approval. Speed Bay offers PTO and paid holidays, the terms of which are set forth in the program policies. All full-time employees also are eligible to participate in various benefit plans, including medical, dental, vision, life, disability insurance and 401K, in each case in accordance with the terms of the applicable plans.

Pay Transparency Nondiscrimination Provision:

Speed Bay is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Know Your Rights, Workplace Discrimination is Illegal

Speed Bay does not accept unsolicited resumes from staffing agencies, search firms or any third parties. Any unsolicited resume submitted to Speed Bay in any manner will be considered Speed Bay property, and Speed Bay will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

Speed Bay Warehouse Solutions

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