Senior Analytics Data Engineer - Homes.com
Core
Design and scale end-to-end data infrastructure to transform raw data into high-quality datasets powering internal insights and customer-facing product experiences.
Role type
Senior Analytics Data Engineer
Builds
Automated data pipelines, scalable BI solutions, and productionized ML models for real estate portals
Domain
Real Estate / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, PySpark, data warehousing, cloud platforms (AWS/Azure/Databricks/Snowflake), data visualization (Power BI/Tableau/Looker), AI tooling (Claude Code/Copilot/Cursor/Gemini/Grok)
Preferred skills
Google Analytics, large consumer datasets, LLMs/prompt engineering, real estate industry background
Technologies
SQL, Python, PySpark, AWS, Azure, Databricks, Snowflake, Microsoft SQL Server, Power BI, Tableau, Looker
Responsibilities
Design and deploy automated data infrastructure and pipelines; define tracking strategy and build transformation scripts; develop data quality monitoring and validation procedures; design warehouse architecture and schemas; collaborate with stakeholders to provide data access and analysis tools; develop scalable BI solutions for self-service analytics; partner with Data Science teams to productionize models and apply LLMs for user behavior synthesis
Seniority
Senior, hands-on IC