Senior Data Engineer

Job Locations US-Chicago

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 Engineer to join Revantage North America’s Data Engineering team. This role is charged with developing data pipelines integrating dozens of data sources and target systems, ensures data quality, creates models, and then exposes the data in various forms for consumption by other teams and platforms. We are looking for a software engineer who has experience with data infrastructure, ETL systems, reporting environments, or machine learning pipelines. This position will be based out of Revantage’s headquarters in Chicago, IL.

How You Add Value

  • Design, develop, and launch efficient and reliable data pipelines to move and transform data to enable downstream consumption and insights 
  • Refine code to ensure performance and reliability of data pipelines and data processing
  • Write unit tests, and automate functional and integration tests
  • 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 Agile/Scrum activities, code reviews, and architectural reviews 
  • Implement DevOps patterns in conjunction with our DevOps/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
  • Minimum of 2 years’ experience within a data engineering team
  • Demonstrated hands-on Engineering experience delivering large scale data, analytics, reporting, or machine learning products/solutions
  • Strong grasp of Python and SQL
  • Experience with data modeling
  • Experience with Agile processes
  • Familiarity with issues of performance, availability, scalability, reliability, and maintainability of data pipelines
  • Experience working with RDBMS, OLAP, and non-relational database systems (SQL Server, Oracle, Postgres, Redshift, Synapse, Big Query, Redis, Snowflake, et al)


  • Experience with Spark and pySpark
  • Experience in SRE or DevOps approaches

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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