Data Engineer 2
Core
Design and implement enterprise data solutions using AI, automation, and advanced ETL/ELT workflows to drive strategic business value in real estate.
Role type
Mid-level IC Data Engineer
Builds
Production-ready data pipelines, CI/CD capabilities, and reusable data engineering frameworks
Domain
Commercial real estate data processing and analytics
Deliverable
production ML models | product features
Required skills
Python (intermediate, decorators, generators, OOP), SQL (query optimization), Data orchestration (Airflow, Azure Data Factory, SSIS), Big Data processing (Apache Spark, PySpark), Cloud platforms (Azure, AWS, GCP), CI/CD pipelines, Data modeling and warehousing, AI/automation integration
Preferred skills
Semantic layer tools (CubeJS), Design patterns, Cross-functional collaboration
Technologies
Python, SQL, Airflow, Azure Data Factory, SSIS, Apache Spark, PySpark, Azure, AWS, GCP, Databricks, Azure Functions, Delta Lake, CubeJS
Responsibilities
Design and implement complete ETL/ELT workflows; Build and modify CI/CD pipelines for data processing; Develop native data ingestion capabilities from APIs, databases, and file systems; Implement data validation, error handling, and monitoring; Incorporate AI and automation patterns into data engineering solutions; Translate business requirements into technical data engineering solutions
Seniority
Mid-level, hands-on IC
