Data Engineer II (AWS, Databricks, SQL, GenAI)
Core
Design, build, and deploy complex data solutions and pipelines to contextualize data for the entire enterprise, supporting Artificial Intelligence, Machine Learning, and business intelligence.
Role type
Senior Data Engineer (AWS, Databricks, SQL, GenAI)
Builds
Enterprise data pipelines, data solutions, and analytic environments
Domain
Insurance / Data Engineering / Cloud
Deliverable
production ML models | product features | infrastructure
Required skills
Databricks (including DBT and Unity Catalog), Ab Initio, Snowflake, TeraData, API development and integration, Cloud platforms, SQL, GenAI tools (e.g., Claude Code), modern software engineering practices
Preferred skills
Data governance, data security, data quality, data cleansing, system analysis, defect resolution, team leadership, tradeoff negotiation
Technologies
AWS, Databricks, DBT, Unity Catalog, Ab Initio, Snowflake, TeraData, Claude Code
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 with team leadership capabilities