Full-Stack Data Platform Engineer
Core
Design and operate scalable data warehouse systems and ETL pipelines to transform complex workforce data into intelligence for analytics, workflow insights, and economic modeling.
Role type
Senior Data Platform Engineer
Builds
Scalable data warehouses, ETL pipelines, and visualization dashboards
Domain
Workforce intelligence / Data infrastructure
Deliverable
production ML models | dashboards & analysis
Required skills
Data warehouse architecture, SQL, ETL pipeline development, data modeling, cloud data operations, performance optimization, data governance
Preferred skills
Python for analytics, AI/ML-driven analytics, real-time streaming data architectures, secure cloud operations
Technologies
BigQuery, Snowflake, Redshift, Metabase, Tableau, Power BI
Responsibilities
Design and maintain scalable data warehouses; Develop and optimize ETL pipelines; Model and manage datasets; Build and maintain visualization dashboards; Ensure data reliability and cost efficiency; Implement event-based pipelines for real-time analytics; Contribute to data governance and security best practices
Seniority
Senior, hands-on IC
