Associate, Data Engineer

Job Locations
US-Chicago | US-TX-Dallas

Who We Are

Revantage is a Blackstone Company that provides a highly skilled employee base, best-in-class processes, and state-of-the-art technology to multiple Blackstone real estate portfolio companies. Sectors include Hospitality, Industrial, Multi-Family, Office, Retail, Senior Housing, and Manufactured Homes.


Revantage, headquartered in Chicago, is one of three global offices that includes Revantage Asia and Revantage Europe.


What We Value: Our Culture

Creating a culture that inspires change and momentum requires the right team. We know what it takes to lead an industry, and are looking for leaders who seek constant growth, want to excel, and continuously improve upon themselves and the industry. The culture at Revantage is built on our shared core values and commitment to be:


  • Achievers – We expect high standards for ourselves and enable the success of our teams
  • Enthusiasts - We face challenges with optimism and believe anything is possible
  • Leaders - We commit to continuously improve our performance
  • Learners – We learn from our challenges and successes
  • Partners - We deliver value and positive impact to our partners


Why This Role Is Valuable  

We are seeking a Data Engineers to join Revantage North America’s Data Engineering team. This role is charged with developing a unified, modular, composable, and generalized data platform that integrates with dozens of data sources and source systems, ensures data quality, models, and then exposes the data in various forms for consumption by other teams and platforms. We are looking for a data engineers who has some experience with data infrastructure, ETL systems, reporting environments, and working on cloud environments. This position will be based out of one of the locations where Revantage has an office.

How You Add Value

  • Design, develop, and launch extremely efficient and reliable data pipelines to move and transform data to enable downstream consumption and insights 
  • Collaborate with other data engineers, analysts, product managers, and customers to implement technical solutions to business problems 
  • Support the development process by participating in regular scrum activities, code review, and architectural reviews 
  • Implement DevOps patterns in conjunction with our SREs 
  • Diagnose and solve issues in existing data pipelines, and use learnings to build their successors

What You Bring To The Role


  • STEM B.S., M.S., or comparable experience 
  • Demonstrated hands-on Engineering experience delivering large scale data, analytics, reporting, or machine learning products/solutions 
  • Strong grasp of Python and SQL
  • Strong grasp of data related cloud technologies
  • Familiarity with issues of performance, availability, scalability, reliability, and maintainability of data pipelines  
  • Experience working with Python, Spark, RDBMS, OLAP databases


  • Familiarity with dimensional modeling techniques and best practices
  • Experience working on Azure or AWS based data environments.


Perks for You

  • Competitive salary, overall compensation and 401(k)
  • Work-life balance offerings include:
    • Remote work policy
    • Productivity Hours – weekly meeting-free work time
    • Bi-weekly Summer Fridays
  • In-house and external learning & development opportunities
  • Generous health insurance and wellness benefits

EEO Statement

Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email




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