Data Engineer II

Data Engineer II - Job Description

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors.

We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

is already one of the fastest growing real estate portals in the industry, we are driven to be #1. Just ask Brad Bellflower, Chief Change Officer at  After its acquisition in 2014,  quickly turned into the most popular place to find a place. Proven success at the highest level – and we’re doing it again with the new   is a CoStar Group company with 20+ years' experience in leading and growing digital marketplaces.

We pride ourselves on continually improving, innovating, and setting the standard for property search and marketing experiences. With  we’re building a brand on the cusp of defining the industry. We’re looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of home buying within a tried‑and‑true, award‑winning company.

Learn more about

is growing quickly and we’re looking for a Data Engineer to help accelerate our growth. This role will be responsible for helping build out sitewide tracking architecture on  and then feeding that data into user‑friendly KPI dashboards which track site performance and product usage and provide day‑to‑day insights into consumer behavior. This individual will help build and deliver the data engineering architecture for  and work across all departments to provide analysis and insights for future growth.

You will be part of various aspects of our data management, ranging from designing and maintaining automated data infrastructure and delivering Data engineering and Analytics solutions to facilitating data access and analysis for key company teams.

This position is in Rosslyn, VA and offers a hybrid schedule of 4 days onsite, 1 day remote.

• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, Data Factory, and other AWS services.

• Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks.
• Building and deploying AI/ML models:
  Integrate Machine Learning into data pipelines, leverage Databricks ML and AWS ML to develop predictive models and drive business insights.
• Understand various data domains and be able to translate them through data transformations to suit various business needs.
• Oversee automated data infrastructure:
  Collaborate with software engineering and product teams to streamline data tracking in our products.
• Ability to integrate data from different sources via cross‑domain data stitch into existing data model.
• Develop and maintain secure data warehouses and data lake houses:
  Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
• Hands‑on data optimization and query performance.
• Liaise with key company teams (DBA, Dev Ops, Sec Ops…) for data accessibility and analysis.
• Mentor and manage engineers and analysts in the normal execution of their responsibilities.
• Successfully implement software development projects to specification and within scheduled timelines and budget parameters.
• Leverage AWS Dev Ops and CI/CD best practices to automate the deployment, through terraform, and management of data pipelines and…