Senior Data Engineer - Homes.com - Arlington, VA

CoStar Group•Arlington, VA

2d•$128,000 - $190,000•Hybrid

About The Position

Homes.com 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 Homes.com 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 Homes.com 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 Arlington, VA and offers a schedule of Monday to Thursday in the office and the option to work from home on Friday.

Requirements

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 technologies and hands-on experience leveraging AI tooling in development (Claude Code, GitHub Copilot, Cursor, Gemini, Grok)
Ability to retrieve, synthesize, and present critical data in structures that is immediately useful to answering specific ad-hoc questions
Hands-on data experience on optimization, data quality checks, data accuracy and query performance improvement

Nice To Haves

Hands-on experience or familiarity with big data platforms such as Databricks or Snowflake
Proficiency with cloud platforms, including AWS or Azure
Experience working with NoSQL databases (e.g., DynamoDB) and object storage systems (e.g., Amazon S3, GCS, etc.)
Practical knowledge of event streaming technologies, especially Kafka
Experience leveraging AWS compute and container services for scalable solutions
Familiarity with large language models (LLMs), prompt engineering, or agent-based architectures
Great analytical and problem-solving skills, with the ability to tackle complex technical challenges
Strong Ability to understand technical challenges and complex designs, and communicate into simple business ideas, or solutions with senior management/stakeholders

Responsibilities

Design and Oversee implementation of dimensional modeling, database design, and cloud data platform structures (e.g., Databricks, Snowflake, BigQuery)
Develop data platform framework to build secure data warehouses and data lakehouses 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, DevOps, SecOps…) 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 DevOps and CI/CD best practices to automate the deployment, through terraform, and management of data pipelines and infrastructure.

Benefits

Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
Life, legal, and supplementary insurance
Virtual and in person mental health counseling services for individuals and family
Commuter and parking benefits
401(K) retirement plan with matching contributions
Employee stock purchase plan
Paid time off
Tuition reimbursement
On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups
Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks