Senior Data Engineer - Debt Solutions

Senior Data Engineer
- Debt Solutions
- San Diego, CA

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, 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 to our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

• 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 Object‑Oriented Programming principles and best practices
• Demonstrated success in building and launching data‑driven products operating at terabyte scale
• Proven record of designing and implementing Enterprise Level secure, and accurate Data platform
• Ability to translate technical requirements into robust architecture, data models, and ETL strategies
• Practical experience with cloud‑based databases, including both relational and non‑relational systems
• Knowledge of business intelligence software (i.e. Power BI or similar tools)
• Understanding of AI…