Data Engineer II - Snowflake, dbt, AWS
Core
Design, build, and operationalize complex data pipelines and solutions to contextualize enterprise data for AI, Machine Learning, and business intelligence.
Role type
Senior Data Engineer (Data Warehousing & Transformation)
Builds
Scalable data pipelines, unified analytics data layers, and consumer-ready data models for the enterprise.
Domain
Insurance / Data Engineering
Deliverable
production ML models | product features
Required skills
Snowflake, dbt, SQL, data warehousing, data pipeline design, data governance, data quality, systems migration, data mapping, query optimization
Preferred skills
Data virtualization, schema management, field migrations, value mapping
Technologies
Snowflake, dbt, AWS
Responsibilities
Build and operationalize complex data solutions; design complex data solutions; perform analysis of complex sources to determine value and use; incorporate core data management competencies including data governance, data security and data quality; collaborate within and across teams to support delivery and educate end users; perform data and system analysis, assessment and resolution for complex defects and incidents; test data movement, transformation code, and data components.
Seniority
Senior, hands-on IC
