Software Engineer II, Data Management at CoStar Group

Compensation

$108,000 – $140,000/yr

Setup: Hybrid
Location: Richmond, Virginia
Type: Full-time
Level: not_specified
Posted: Jul 27, 2026

Description

CoStar Group is seeking a Software Engineer II, Data Management to join their Data Automation team. The successful candidate will build and implement AI-powered software solutions, focusing on enhancing customer experience, improving platform intelligence, and unlocking new product capabilities. Responsibilities include developing distributed, API-driven systems, integrating AI skills and tools, utilizing AI models for monitoring and diagnostics, and collaborating with various teams to identify AI-driven automation opportunities. The role emphasizes producing robust, efficient, and maintainable code using React JS, C#, .NET Framework, AWS, and SQL Server.

Required Skills

React JS
JavaScript
C#
.NET Framework
Web API 2.0
relational databases
SQL Server
PostgreSQL
database design
SQL development
performance tuning
large-scale distributed, services-oriented systems
agile environment
AI technologies
Claude Code
GitHub Copilot
Cursor
Gemini
Grok
Data modeling
Large Language Models (LLMs)
prompt engineering
agent-based architectures
monitoring
telemetry
observability
automated diagnostics platforms
data quality principles
data governance concepts
data-centric application design

Additional Information

Minimum Education: Bachelor's Degree from an accredited, non-profit university or college.
Required Previous Experiences: 4+ years of full-stack software development experience building web applications using React.js, JavaScript, C#, .NET Framework/Web API 2.0, and relational databases (Microsoft SQL Server and/or PostgreSQL), including database design, SQL development, and performance tuning.
Experience in designing and building large-scale distributed, service-oriented systems and web applications in an agile environment.
Preferred Qualifications: Strong communication skills (both to business and technical partners)
Knowledge of cloud platforms (Azure or AWS)
Advanced SQL Querying
Experience with RESTful web services
Data modeling experience from conceptual, logical, and physical designs.
Experience implementing AI agents, workflow automation platforms, or intelligent search solutions.
Experience applying AI-assisted software development practices to improve engineering productivity and code quality.
Experience leveraging ML technologies in production systems (Azure Machine Learning, AWS SageMaker, etc.).
Experience implementing LLM technologies into production systems (Azure AI Foundry, AWS Bedrock, etc.).