Data Engineer
Core
Engineering robust data pipelines and automating workflows for commercial real estate (CRE) forecasting infrastructure and macroeconomic datasets across the Americas.
Role type
Senior Data Engineer (Time Series & Forecasting)
Builds
Automated data pipelines, time series datasets, and forecasting infrastructure for CRE analytics.
Domain
Commercial Real Estate (CRE) / Macroeconomics / Time Series Data
Deliverable
production ML models | product features
Required skills
Python, R, SQL, Databricks, Delta Lake, time series data engineering, data pipeline frameworks, cloud platforms (Azure/AWS), version control, data quality validation, data lineage tracking, geospatial data concepts, econometric modeling workflows
Preferred skills
Real estate industry experience, advanced degree in Data Science/CS/Statistics, experience with medallion architecture, exposure to macroeconomic datasets
Technologies
Python, R, SQL, Databricks, Delta Lake, Azure, AWS
Responsibilities
Prototype and maintain automated data pipelines for ingesting and transforming CRE and macroeconomic datasets; ensure data integrity and consistency through validation and quality control; collaborate with economists and analytics leads to deliver production-ready data solutions; integrate internal and external data sources into forecasting infrastructure; document synthetic data model architecture and data flows; identify new data use cases and normalize data for statistical and econometric applications; contribute to data infrastructure evolution and emerging technology integration.
Seniority
Mid-to-Senior, hands-on IC
