Senior Data Engineer

Senior Data Engineer -

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, 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.

is the nation's #1 rental marketplace for owners, property managers and consumers.  is the network that millions of renters every year rely on to find their new place, is continuing to grow our industry-leading sales force. We provide apartment Property Managers and Owners with a platform to market their property listings and the industry's most comprehensive virtual tools to attract the most and highest-quality renters.

The  Network includes , , , , and eight other leading rental sites. Our suite of services includes digital advertising, social and reputation management, and market analytic solutions which delivers innovative tools for our customers.

is growing quickly and we're looking for a Senior 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.

CoStar is investing heavily in artificial intelligence to accelerate software delivery, improve platform observability, automate research and business workflows, enhance product experiences through intelligent agents and skills, and improve data quality across enterprise systems. Successful candidates will demonstrate a willingness to learn, adopt, and apply AI technologies responsibly to solve complex business and engineering challenges.

This position is located in Irvine, CA and offers a schedule of Monday to Thursday in the office and work from home on Fridays.

• Design and oversee implementation of dimensional modeling, database design, and cloud data platform structures (e.g., Databricks, Snowflake, Big Query)
• Develop data platform framework to build secure data warehouses and data lake houses applying principles of Medallion Architecture
• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, Snowflake, 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
• Define and apply AI-assisted software development practices to improve engineering productivity and code quality
• 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 disparate sources via cross domain data stitch into existing data model
• Implement data governance, lineage tracking, testing, and monitoring frameworks to guarantee data integrity
• 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 infrastructure.

• Bachelor's degree required from an accredited, not-for-profit, in-person college/university
• A track record of commitment to prior employers
• 6+ years of hands-on experience in software development, delivering high-quality solutions
• Strength in Data Engineering, with strong proficiency in Python, PySpark, and SQL
• Solid foundation in…